conftrace_

Reinforcement Learning

9,982 papers (145 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Methods (8,258) Applications (3,394)

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Papers (including subtopics)

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 Second-Order Convergence of Biased Policy Gradient Algorithms ICML 2024 On The Statistical Complexity of Offline Decision-Making ICML 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 On the uniqueness of solution for the Bellman equation of LTL objectives L4DC 2024 On Trajectory Augmentations for Off-Policy Evaluation ICLR 2024 Open Ad Hoc Teamwork with Cooperative Game Theory 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 OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators NeurIPS 2024 Operator World Models for Reinforcement Learning NeurIPS 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 Optimality Guarantees for Particle Belief Approximation of POMDPs (Abstract Reprint) IJCAI 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 Multi-Agent Policy Gradient ICML 2024 Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property AAAI 2024 Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning AAAI 2024 Optimizing Automatic Differentiation with Deep Reinforcement Learning NeurIPS 2024