Reinforcement Learning

Towards a better understanding of representation dynamics under TD-learning ICML 2023 Towards Disturbance-Free Visual Mobile Manipulation WACV 2023 Towards Generalizable Reinforcement Learning for Trade Execution IJCAI 2023 Towards Hierarchical Policy Learning for Conversational Recommendation with Hypergraph-based Reinforcement Learning IJCAI 2023 Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games ACML 2023 Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks ICML 2023 Towards Learning to Imitate from a Single Video Demonstration JMLR 2023 Towards Long-delayed Sparsity: Learning a Better Transformer through Reward Redistribution IJCAI 2023 Towards Minimax Optimal Reward-free Reinforcement Learning in Linear MDPs ICLR 2023 Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data ICML 2023 Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning AAAI 2023 Towards Safe Reinforcement Learning via OOD Dynamics Detection in Autonomous Driving System (Student Abstract) AAAI 2023 Towards Theoretical Understanding of Inverse Reinforcement Learning ICML 2023 Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion CVPR 2023 TraCo: Learning Virtual Traffic Coordinator for Cooperation with Multi-Agent Reinforcement Learning CoRL 2023 TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning NeurIPS 2023 Train Hard, Fight Easy: Robust Meta Reinforcement Learning NeurIPS 2023 Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning NeurIPS 2023 Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning ICML 2023 Transferable Curricula through Difficulty Conditioned Generators IJCAI 2023 Transformers are Sample-Efficient World Models ICLR 2023 Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism CoRL 2023 TRAVEL: Tag-Aware Conversational FAQ Retrieval via Reinforcement Learning EMNLP 2023 trlX: A Framework for Large Scale Open Source RLHF EMNLP 2023 trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback EMNLP 2023