Reinforcement Learning

On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control JMLR 2024 On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation AISTATS 2024 OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning AAAI 2024 Open Problem: Order Optimal Regret Bounds for Kernel-Based Reinforcement Learning COLT 2024 Optimal Attack and Defense for Reinforcement Learning AAAI 2024 Optimal Mechanism in a Dynamic Stochastic Knapsack Environment AAAI 2024 Optimistic Model Rollouts for Pessimistic Offline Policy Optimization AAAI 2024 Optimistic Regret Bounds for Online Learning in Adversarial Markov Decision Processes UAI 2024 Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning AAAI 2024 Optimizing Automatic Differentiation with Deep Reinforcement Learning NeurIPS 2024 Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning EMNLP 2024 Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes AAAI 2024 ORPO: Monolithic Preference Optimization without Reference Model EMNLP 2024 Outcome-Constrained Large Language Models for Countering Hate Speech EMNLP 2024 OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments AAAI 2024 Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL NeurIPS 2024 P2BPO: Permeable Penalty Barrier-Based Policy Optimization for Safe RL AAAI 2024 Pearl: A Production-Ready Reinforcement Learning Agent JMLR 2024 Performative Reinforcement Learning in Gradually Shifting Environments UAI 2024 Periodic agent-state based Q-learning for POMDPs NeurIPS 2024 Perplexity-aware Correction for Robust Alignment with Noisy Preferences NeurIPS 2024 Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning NeurIPS 2024 Physics-Informed Representation and Learning: Control and Risk Quantification AAAI 2024 PILOT: An O(1/K)-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation ICLR 2024 Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks ICLR 2024