Methods

Online Performative Gradient Descent for Learning Nash Equilibria in Decision-Dependent Games NeurIPS 2023 Online Reinforcement Learning with Uncertain Episode Lengths AAAI 2023 Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning AAAI 2023 On Many-Actions Policy Gradient ICML 2023 On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling and Beyond NeurIPS 2023 On the Complexity of Multi-Agent Decision Making: From Learning in Games to Partial Monitoring COLT 2023 On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration NeurIPS 2023 On The Convergence Of Policy Iteration-Based Reinforcement Learning With Monte Carlo Policy Evaluation AISTATS 2023 On the Convergence of SARSA with Linear Function Approximation ICML 2023 On the Data-Efficiency with Contrastive Image Transformation in Reinforcement Learning ICLR 2023 On the Effectiveness of Offline RL for Dialogue Response Generation ICML 2023 On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning ICLR 2023 On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization ICML 2023 On the Global Convergence of Risk-Averse Policy Gradient Methods with Expected Conditional Risk Measures ICML 2023 On the Importance of Exploration for Generalization in Reinforcement Learning NeurIPS 2023 On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning ICML 2023 On the Occupancy Measure of Non-Markovian Policies in Continuous MDPs ICML 2023 On the Relation between Policy Improvement and Off-Policy Minimum-Variance Policy Evaluation UAI 2023 On the Reuse Bias in Off-Policy Reinforcement Learning IJCAI 2023 On the Sample Complexity of Vanilla Model-Based Offline Reinforcement Learning with Dependent Samples AAAI 2023 On the Statistical Benefits of Temporal Difference Learning ICML 2023 On the Study of Curriculum Learning for Inferring Dispatching Policies on the Job Shop Scheduling IJCAI 2023 Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation AAAI 2023 Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian ICLR 2023 Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes NeurIPS 2023