reinforcement learning

On learning history-based policies for controlling Markov decision processes AISTATS 2024 Online Control with Adversarial Disturbance for Continuous-time Linear Systems NeurIPS 2024 Online Iterative Reinforcement Learning from Human Feedback with General Preference Model NeurIPS 2024 Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints AAAI 2024 On Stationary Point Convergence of PPO-Clip ICLR 2024 On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models IJCAI 2024 On the Model-Misspecification in Reinforcement Learning AISTATS 2024 On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games NeurIPS 2024 On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control JMLR 2024 On the Unexpected Effectiveness of Reinforcement Learning for Sequential Recommendation ICML 2024 On the uniqueness of solution for the Bellman equation of LTL objectives L4DC 2024 OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning AAAI 2024 OpenChat: Advancing Open-source Language Models with Mixed-Quality Data ICLR 2024 Open Problem: Order Optimal Regret Bounds for Kernel-Based Reinforcement Learning COLT 2024 OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy NSDI 2024 Opponent Modeling based on Subgoal Inference NeurIPS 2024 OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations NeurIPS 2024 Optimal Attack and Defense for Reinforcement Learning AAAI 2024 Optimal Mechanism in a Dynamic Stochastic Knapsack Environment AAAI 2024 Optimal Sample Complexity for Average Reward Markov Decision Processes ICLR 2024 Optimizing Automatic Differentiation with Deep Reinforcement Learning NeurIPS 2024 Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning 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