Methods

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 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 Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach NeurIPS 2023 Truncating Trajectories in Monte Carlo Reinforcement Learning ICML 2023 Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints NeurIPS 2023 Two Heads are Better Than One: A Simple Exploration Framework for Efficient Multi-Agent Reinforcement Learning NeurIPS 2023 Uncertainty-Aware Instance Reweighting for Off-Policy Learning NeurIPS 2023 Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback NeurIPS 2023 Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning NeurIPS 2023 Understanding Plasticity in Neural Networks ICML 2023 Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL NeurIPS 2023