Methods

The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model NeurIPS 2023 The Dormant Neuron Phenomenon in Deep Reinforcement Learning ICML 2023 The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning Dynamics ICML 2023 The In-Sample Softmax for Offline Reinforcement Learning ICLR 2023 The Optimal Approximation Factors in Misspecified Off-Policy Value Function Estimation ICML 2023 Theory of Mind for Multi-Agent Collaboration via Large Language Models EMNLP 2023 The Power of Learned Locally Linear Models for Nonlinear Policy Optimization ICML 2023 The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning ICLR 2023 The Regret of Exploration and the Control of Bad Episodes in 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 Thought Cloning: Learning to Think while Acting by Imitating Human Thinking NeurIPS 2023 Tight Performance Guarantees of Imitator Policies with Continuous Actions AAAI 2023 Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints ICLR 2023 Token Turing Machines CVPR 2023 Toward Efficient Gradient-Based Value Estimation ICML 2023 Toward Multi-Agent Reinforcement Learning for Distributed Event-Triggered Control L4DC 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 to Imitate from a Single Video Demonstration JMLR 2023 Towards Long-delayed Sparsity: Learning a Better Transformer through Reward Redistribution IJCAI 2023