Reinforcement Learning

Optimistic Thompson Sampling-based algorithms for episodic reinforcement learning UAI 2023 Optimizing Crop Management with Reinforcement Learning and Imitation Learning IJCAI 2023 Optimizing DDPM Sampling with Shortcut Fine-Tuning ICML 2023 Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach AISTATS 2023 Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method NeurIPS 2023 Oracle-free Reinforcement Learning in Mean-Field Games along a Single Sample Path AISTATS 2023 Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning ICML 2023 Ordering-based Conditions for Global Convergence of Policy Gradient Methods NeurIPS 2023 Order Matters: Agent-by-agent Policy Optimization ICLR 2023 Outcome-directed Reinforcement Learning by Uncertainty \& Temporal Distance-Aware Curriculum Goal Generation ICLR 2023 PAL to Lend a Helping Hand: Towards Building an Emotion Adaptive Polite and Empathetic Counseling Conversational Agent ACL 2023 Pandering in a (flexible) representative democracy UAI 2023 Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation ICML 2023 Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition NeurIPS 2023 Partially Observable Multi-agent RL with (Quasi-)Efficiency: The Blessing of Information Sharing ICML 2023 Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms ICLR 2023 PartManip: Learning Cross-Category Generalizable Part Manipulation Policy From Point Cloud Observations CVPR 2023 PARTNER: A Persuasive Mental Health and Legal Counselling Dialogue System for Women and Children Crime Victims IJCAI 2023 Path Spuriousness-aware Reinforcement Learning for Multi-Hop Knowledge Graph Reasoning EACL 2023 PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm ICLR 2023 Percentile Criterion Optimization in Offline Reinforcement Learning NeurIPS 2023 Performance Bounds for Policy-Based Average Reward Reinforcement Learning Algorithms NeurIPS 2023 Performative Reinforcement Learning ICML 2023 Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes ICLR 2023 Pessimistic Model Selection for Offline Deep Reinforcement Learning UAI 2023