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Volume 100: Conference on Robot Learning, 30-1 November 2019,
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Editors: Leslie Pack Kaelbling, Danica Kragic, Komei Sugiura
Data Efficient Reinforcement Learning for Legged Robots
; Proceedings of the Conference on Robot Learning, PMLR 100:1-10
To Follow or not to Follow: Selective Imitation Learning from Observations
; Proceedings of the Conference on Robot Learning, PMLR 100:11-23
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On-Policy Robot Imitation Learning from a Converging Supervisor
; Proceedings of the Conference on Robot Learning, PMLR 100:24-41
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Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation
; Proceedings of the Conference on Robot Learning, PMLR 100:42-52
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S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes
; Proceedings of the Conference on Robot Learning, PMLR 100:53-65
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Learning by Cheating
; Proceedings of the Conference on Robot Learning, PMLR 100:66-75
Multimodal Attention Branch Network for Perspective-Free Sentence Generation
; Proceedings of the Conference on Robot Learning, PMLR 100:76-85
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction
; Proceedings of the Conference on Robot Learning, PMLR 100:86-99
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Object-centric Forward Modeling for Model Predictive Control
; Proceedings of the Conference on Robot Learning, PMLR 100:100-109
Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real
; Proceedings of the Conference on Robot Learning, PMLR 100:110-121
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Combining Deep Learning and Verification for Precise Object Instance Detection
; Proceedings of the Conference on Robot Learning, PMLR 100:122-141
MAT: Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning
; Proceedings of the Conference on Robot Learning, PMLR 100:142-161
Curious iLQR: Resolving Uncertainty in Model-based RL
; Proceedings of the Conference on Robot Learning, PMLR 100:162-171
Hybrid system identification using switching density networks
; Proceedings of the Conference on Robot Learning, PMLR 100:172-181
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Regularizing Model-Based Planning with Energy-Based Models
; Proceedings of the Conference on Robot Learning, PMLR 100:182-191
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Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration
; Proceedings of the Conference on Robot Learning, PMLR 100:192-203
Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping
; Proceedings of the Conference on Robot Learning, PMLR 100:204-219
Perceptual Attention-based Predictive Control
; Proceedings of the Conference on Robot Learning, PMLR 100:220-232
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning
; Proceedings of the Conference on Robot Learning, PMLR 100:233-246
Learning from demonstration with model-based Gaussian process
; Proceedings of the Conference on Robot Learning, PMLR 100:247-257
Variational Inference MPC for Bayesian Model-based Reinforcement Learning
; Proceedings of the Conference on Robot Learning, PMLR 100:258-272
Optimizing Sequences of Probabilistic Manipulation Skills Learned from Demonstration
; Proceedings of the Conference on Robot Learning, PMLR 100:273-282
Predictive Safety Network for Resource-constrained Multi-agent Systems
; Proceedings of the Conference on Robot Learning, PMLR 100:283-292
A correct formulation for the Orientation Dynamic Movement Primitives for robot control in the Cartesian space
; Proceedings of the Conference on Robot Learning, PMLR 100:293-302
Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information
; Proceedings of the Conference on Robot Learning, PMLR 100:303-316
Learning Locomotion Skills for Cassie: Iterative Design and Sim-to-Real
; Proceedings of the Conference on Robot Learning, PMLR 100:317-329
Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations
; Proceedings of the Conference on Robot Learning, PMLR 100:330-359
Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning
; Proceedings of the Conference on Robot Learning, PMLR 100:360-373
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Model-Based Planning with Energy-Based Models
; Proceedings of the Conference on Robot Learning, PMLR 100:374-383
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Identifying Unknown Instances for Autonomous Driving
; Proceedings of the Conference on Robot Learning, PMLR 100:384-393
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Vision-and-Dialog Navigation
; Proceedings of the Conference on Robot Learning, PMLR 100:394-406
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction
; Proceedings of the Conference on Robot Learning, PMLR 100:407-419
Combining Optimal Control and Learning for Visual Navigation in Novel Environments
; Proceedings of the Conference on Robot Learning, PMLR 100:420-429
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Leveraging exploration in off-policy algorithms via normalizing flows
; Proceedings of the Conference on Robot Learning, PMLR 100:430-444
TuneNet: One-Shot Residual Tuning for System Identification and Sim-to-Real Robot Task Transfer
; Proceedings of the Conference on Robot Learning, PMLR 100:445-455
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Bayesian Optimization in Variational Latent Spaces with Dynamic Compression
; Proceedings of the Conference on Robot Learning, PMLR 100:456-465
A Survey on Reproducibility by Evaluating Deep Reinforcement Learning Algorithms on Real-World Robots
; Proceedings of the Conference on Robot Learning, PMLR 100:466-489
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Learning to Manipulate Object Collections Using Grounded State Representations
; Proceedings of the Conference on Robot Learning, PMLR 100:490-502
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Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances
; Proceedings of the Conference on Robot Learning, PMLR 100:503-512
Self-Paced Contextual Reinforcement Learning
; Proceedings of the Conference on Robot Learning, PMLR 100:513-529
Contextual Imagined Goals for Self-Supervised Robotic Learning
; Proceedings of the Conference on Robot Learning, PMLR 100:530-539
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Conditional Driving from Natural Language Instructions
; Proceedings of the Conference on Robot Learning, PMLR 100:540-551
Adversarial Active Exploration for Inverse Dynamics Model Learning
; Proceedings of the Conference on Robot Learning, PMLR 100:552-565
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Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models
; Proceedings of the Conference on Robot Learning, PMLR 100:566-589
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PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning
; Proceedings of the Conference on Robot Learning, PMLR 100:590-602
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HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators
; Proceedings of the Conference on Robot Learning, PMLR 100:603-616
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Learning Navigation Subroutines from Egocentric Videos
; Proceedings of the Conference on Robot Learning, PMLR 100:617-626
A Learnable Safety Measure
; Proceedings of the Conference on Robot Learning, PMLR 100:627-639
HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints
; Proceedings of the Conference on Robot Learning, PMLR 100:640-650
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Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light
; Proceedings of the Conference on Robot Learning, PMLR 100:651-660
Connectivity Guaranteed Multi-robot Navigation via Deep Reinforcement Learning
; Proceedings of the Conference on Robot Learning, PMLR 100:661-670
Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks
; Proceedings of the Conference on Robot Learning, PMLR 100:671-682
Provably Robust Blackbox Optimization for Reinforcement Learning
; Proceedings of the Conference on Robot Learning, PMLR 100:683-696
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Stochastic Optimal Control as Approximate Input Inference
; Proceedings of the Conference on Robot Learning, PMLR 100:697-716
AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers
; Proceedings of the Conference on Robot Learning, PMLR 100:717-734
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Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics
; Proceedings of the Conference on Robot Learning, PMLR 100:735-751
Learning from My Partner’s Actions: Roles in Decentralized Robot Teams
; Proceedings of the Conference on Robot Learning, PMLR 100:752-765
Energy-efficient Path Planning for Ground Robots by and Combining Air and Ground Measurements
; Proceedings of the Conference on Robot Learning, PMLR 100:766-775
Multi-Agent Reinforcement Learning with Multi-Step Generative Models
; Proceedings of the Conference on Robot Learning, PMLR 100:776-790
Learning to Navigate Using Mid-Level Visual Priors
; Proceedings of the Conference on Robot Learning, PMLR 100:791-812
Learning Compact Models for Planning with Exogenous Processes
; Proceedings of the Conference on Robot Learning, PMLR 100:813-822
Graph Policy Gradients for Large Scale Robot Control
; Proceedings of the Conference on Robot Learning, PMLR 100:823-834
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Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments
; Proceedings of the Conference on Robot Learning, PMLR 100:835-853
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Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning
; Proceedings of the Conference on Robot Learning, PMLR 100:854-869
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Disentangled Relational Representations for Explaining and Learning from Demonstration
; Proceedings of the Conference on Robot Learning, PMLR 100:870-884
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RoboNet: Large-Scale Multi-Robot Learning
; Proceedings of the Conference on Robot Learning, PMLR 100:885-897
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Counter-example Guided Learning of Bounds on Environment Behavior
; Proceedings of the Conference on Robot Learning, PMLR 100:898-909
MAME : Model-Agnostic Meta-Exploration
; Proceedings of the Conference on Robot Learning, PMLR 100:910-922
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End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds
; Proceedings of the Conference on Robot Learning, PMLR 100:923-932
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Task-Conditioned Variational Autoencoders for Learning Movement Primitives
; Proceedings of the Conference on Robot Learning, PMLR 100:933-944
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Quasi-Newton Trust Region Policy Optimization
; Proceedings of the Conference on Robot Learning, PMLR 100:945-954
Learning value functions with relational state representations for guiding task-and-motion planning
; Proceedings of the Conference on Robot Learning, PMLR 100:955-968
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Locally Weighted Regression Pseudo-Rehearsal for Adaptive Model Predictive Control
; Proceedings of the Conference on Robot Learning, PMLR 100:969-978
Graph-Structured Visual Imitation
; Proceedings of the Conference on Robot Learning, PMLR 100:979-989
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Deep Value Model Predictive Control
; Proceedings of the Conference on Robot Learning, PMLR 100:990-1004
Inferring Task Goals and Constraints using Bayesian Nonparametric Inverse Reinforcement Learning
; Proceedings of the Conference on Robot Learning, PMLR 100:1005-1014
Experience-Embedded Visual Foresight
; Proceedings of the Conference on Robot Learning, PMLR 100:1015-1024
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning
; Proceedings of the Conference on Robot Learning, PMLR 100:1025-1037
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Nonverbal Robot Feedback for Human Teachers
; Proceedings of the Conference on Robot Learning, PMLR 100:1038-1051
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Two Stream Networks for Self-Supervised Ego-Motion Estimation
; Proceedings of the Conference on Robot Learning, PMLR 100:1052-1061
Model-based Behavioral Cloning with Future Image Similarity Learning
; Proceedings of the Conference on Robot Learning, PMLR 100:1062-1077
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Worst Cases Policy Gradients
; Proceedings of the Conference on Robot Learning, PMLR 100:1078-1093
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
; Proceedings of the Conference on Robot Learning, PMLR 100:1094-1100
Deep Dynamics Models for Learning Dexterous Manipulation
; Proceedings of the Conference on Robot Learning, PMLR 100:1101-1112
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Learning Latent Plans from Play
; Proceedings of the Conference on Robot Learning, PMLR 100:1113-1132
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Scene-level Pose Estimation for Multiple Instances of Densely Packed Objects
; Proceedings of the Conference on Robot Learning, PMLR 100:1133-1145
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Macro-Action-Based Deep Multi-Agent Reinforcement Learning
; Proceedings of the Conference on Robot Learning, PMLR 100:1146-1161
Active Domain Randomization
; Proceedings of the Conference on Robot Learning, PMLR 100:1162-1176
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Asking Easy Questions: A User-Friendly Approach to Active Reward Learning
; Proceedings of the Conference on Robot Learning, PMLR 100:1177-1190
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Dynamic Experience Replay
; Proceedings of the Conference on Robot Learning, PMLR 100:1191-1200
Language-guided Semantic Mapping and Mobile Manipulation in Partially Observable Environments
; Proceedings of the Conference on Robot Learning, PMLR 100:1201-1210
Learning Parametric Constraints in High Dimensions from Demonstrations
; Proceedings of the Conference on Robot Learning, PMLR 100:1211-1230
Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems
; Proceedings of the Conference on Robot Learning, PMLR 100:1231-1246
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Understanding Teacher Gaze Patterns for Robot Learning
; Proceedings of the Conference on Robot Learning, PMLR 100:1247-1258
A Divergence Minimization Perspective on Imitation Learning Methods
; Proceedings of the Conference on Robot Learning, PMLR 100:1259-1277
Receding Horizon Curiosity
; Proceedings of the Conference on Robot Learning, PMLR 100:1278-1288
Learning to Generalize Kinematic Models to Novel Objects
; Proceedings of the Conference on Robot Learning, PMLR 100:1289-1299
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots
; Proceedings of the Conference on Robot Learning, PMLR 100:1300-1313
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments
; Proceedings of the Conference on Robot Learning, PMLR 100:1314-1327
Certified Adversarial Robustness for Deep Reinforcement Learning
; Proceedings of the Conference on Robot Learning, PMLR 100:1328-1337
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Asynchronous Methods for Model-Based Reinforcement Learning
; Proceedings of the Conference on Robot Learning, PMLR 100:1338-1347
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PyRoboLearn: A Python Framework for Robot Learning Practitioners
; Proceedings of the Conference on Robot Learning, PMLR 100:1348-1358
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An Online Learning Procedure for Feedback Linearization Control without Torque Measurements
; Proceedings of the Conference on Robot Learning, PMLR 100:1359-1368
The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation
; Proceedings of the Conference on Robot Learning, PMLR 100:1369-1378
Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods
; Proceedings of the Conference on Robot Learning, PMLR 100:1379-1394
Towards Learning to Detect and Predict Contact Events on Vision-based Tactile Sensors
; Proceedings of the Conference on Robot Learning, PMLR 100:1395-1404
Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction
; Proceedings of the Conference on Robot Learning, PMLR 100:1405-1414
Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated Flight
; Proceedings of the Conference on Robot Learning, PMLR 100:1415-1438
[abs][Download PDF][Supplementary ZIP][Supplementary video][Supplementary video][Source code]
Entity Abstraction in Visual Model-Based Reinforcement Learning
; Proceedings of the Conference on Robot Learning, PMLR 100:1439-1456
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Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations
; Proceedings of the Conference on Robot Learning, PMLR 100:1457-1468
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