Robotics

PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training CoRL 2023 Preference learning for guiding the tree search in continuous POMDPs CoRL 2023 Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning NeurIPS 2023 Principled Offline RL in the Presence of Rich Exogenous Information ICML 2023 Provable Sim-to-real Transfer in Continuous Domain with Partial Observations ICLR 2023 Provably Safe Reinforcement Learning with Step-wise Violation Constraints NeurIPS 2023 Q-Learning-Based Model Predictive Variable Impedance Control for Physical Human-Robot Collaboration (Extended Abstract) IJCAI 2023 Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions CoRL 2023 Reachability Analysis-based Safety-Critical Control using Online Fixed-Time Reinforcement Learning L4DC 2023 REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation CoRL 2023 Reconfigurable Robot Control Using Flexible Coupling Mechanisms RSS 2023 Reduced Policy Optimization for Continuous Control with Hard Constraints NeurIPS 2023 Reference-Based POMDPs NeurIPS 2023 Regularity as Intrinsic Reward for Free Play NeurIPS 2023 Reinforcement Learning Approaches for Traffic Signal Control under Missing Data IJCAI 2023 Reinforcement Learning Enables Real-Time Planning and Control of Agile Maneuvers for Soft Robot Arms CoRL 2023 Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation (Extended Abstract) IJCAI 2023 RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability NeurIPS 2023 Revisiting the Minimalist Approach to Offline Reinforcement Learning NeurIPS 2023 Reward Design for an Online Reinforcement Learning Algorithm Supporting Oral Self-Care AAAI 2023 Rewiring Neurons in Non-Stationary Environments NeurIPS 2023 Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning NeurIPS 2023 RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning AAAI 2023 RLSAC: Reinforcement Learning Enhanced Sample Consensus for End-to-End Robust Estimation ICCV 2023 RoboCLIP: One Demonstration is Enough to Learn Robot Policies NeurIPS 2023