Deep RL

The Dormant Neuron Phenomenon in Deep Reinforcement Learning ICML 2023 The Statistical Benefits of Quantile Temporal-Difference Learning for Value Estimation ICML 2023 The Sufficiency of Off-Policyness and Soft Clipping: PPO Is Still Insufficient according to an Off-Policy Measure AAAI 2023 The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning ICML 2023 The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms ICML 2023 Thinker: Learning to Plan and Act NeurIPS 2023 Token Turing Machines CVPR 2023 Toward Efficient Gradient-Based Value Estimation ICML 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 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 Reinforcement Learning via OOD Dynamics Detection in Autonomous Driving System (Student Abstract) AAAI 2023 Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion CVPR 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 TRAVEL: Tag-Aware Conversational FAQ Retrieval via Reinforcement Learning EMNLP 2023 trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback EMNLP 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 Understanding Plasticity in Neural Networks ICML 2023