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Methods

8,258 papers (12 classified directly here)

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

Deep RL (4,525) Policy Learning (2,633) Multi-Agent Systems (1,251) Offline RL (1,025) Model-Based RL (291) Meta-Learning (80)

Papers per year

2
31
37
801
1,203
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Papers (including subtopics)

Safety filters for black-box dynamical systems by learning discriminating hyperplanes L4DC 2024 Sample Complexity Characterization for Linear Contextual MDPs AISTATS 2024 Sample Complexity of Neural Policy Mirror Descent for Policy Optimization on Low-Dimensional Manifolds JMLR 2024 Sample Complexity of Variance-Reduced Distributionally Robust Q-Learning JMLR 2024 Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning NeurIPS 2024 Sample-efficient Adversarial Imitation Learning JMLR 2024 Sample-Efficient Constrained Reinforcement Learning with General Parameterization NeurIPS 2024 Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation ICLR 2024 Sample-Efficient Multiagent Reinforcement Learning with Reset Replay ICML 2024 Sample-Efficient Multi-Agent RL: An Optimization Perspective ICLR 2024 Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks ICLR 2024 Sample-Efficient Quality-Diversity by Cooperative Coevolution ICLR 2024 Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty ICML 2024 Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems AISTATS 2024 SAPG: Split and Aggregate Policy Gradients ICML 2024 SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP ICML 2024 Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning NeurIPS 2024 Scalable Online Exploration via Coverability ICML 2024 Scalable Safe Policy Improvement for Factored Multi-Agent MDPs ICML 2024 Scale-free Adversarial Reinforcement Learning COLT 2024 Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery AAAI 2024 Scaling Offline Evaluation of Reinforcement Learning Agents through Abstraction AAAI 2024 SEABO: A Simple Search-Based Method for Offline Imitation Learning ICLR 2024 SeeA*: Efficient Exploration-Enhanced A* Search by Selective Sampling NeurIPS 2024 Seek Commonality but Preserve Differences: Dissected Dynamics Modeling for Multi-modal Visual RL NeurIPS 2024