Deep RL

Online Reinforcement Learning-Based Pedagogical Planning for Narrative-Centered Learning Environments AAAI 2024 On Stationary Point Convergence of PPO-Clip ICLR 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 Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation AISTATS 2024 On the Unexpected Effectiveness of Reinforcement Learning for Sequential Recommendation ICML 2024 Open Problem: Order Optimal Regret Bounds for Kernel-Based Reinforcement Learning COLT 2024 Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning ICLR 2024 Operator World Models for Reinforcement Learning NeurIPS 2024 OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy NSDI 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 Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL NeurIPS 2024 Optimistic Model Rollouts for Pessimistic Offline Policy Optimization AAAI 2024 Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property 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 Oracle-Efficient Reinforcement Learning for Max Value Ensembles NeurIPS 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 Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning ICML 2024 P2BPO: Permeable Penalty Barrier-Based Policy Optimization for Safe RL AAAI 2024 PA2D-MORL: Pareto Ascent Directional Decomposition Based Multi-Objective Reinforcement Learning AAAI 2024