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Robotics

2069 directly classified papers

Papers per year

Papers

Deep Reactive Planning in Dynamic Environments CORL 2020
ACNMP: Skill Transfer and Task Extrapolation through Learning from Demonstration and Reinforcement Learning via Representation Sharing CORL 2020
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets IJCAI 2020
Learning to Improve Multi-Robot Hallway Navigation CORL 2020
TriFinger: An Open-Source Robot for Learning Dexterity CORL 2020
Few-shot Object Grounding and Mapping for Natural Language Robot Instruction Following CORL 2020
PLAS: Latent Action Space for Offline Reinforcement Learning CORL 2020
Learning Object-conditioned Exploration using Distributed Soft Actor Critic CORL 2020
Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes CORL 2020
Learning Certified Control Using Contraction Metric CORL 2020
Policy learning in SE(3) action spaces CORL 2020
Independent Skill Transfer for Deep Reinforcement Learning IJCAI 2020
Learning Hybrid Control Barrier Functions from Data CORL 2020
Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning CORL 2020
Learning Interactively to Resolve Ambiguity in Reference Frame Selection CORL 2020
Learning from Suboptimal Demonstration via Self-Supervised Reward Regression CORL 2020
EXI-Net: EXplicitly/Implicitly Conditioned Network for Multiple Environment Sim-to-Real Transfer CORL 2020
Towards Robotic Assembly by Predicting Robust, Precise and Task-oriented Grasps CORL 2020
Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning CORL 2020
Flightmare: A Flexible Quadrotor Simulator CORL 2020
Reinforcement Learning Framework for Deep Brain Stimulation Study IJCAI 2020
Learning to Walk in the Real World with Minimal Human Effort CORL 2020
Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning CORL 2020
Sim-to-Real Transfer for Vision-and-Language Navigation CORL 2020
High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards CORL 2020