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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)

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning NeurIPS 2024 Uncertainty-Aware Decision Transformer for Stochastic Driving Environments CoRL 2024 Uncertainty-Aware Reward-Free Exploration with General Function Approximation ICML 2024 Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions NeurIPS 2024 Understanding and Diagnosing Deep Reinforcement Learning ICML 2024 Understanding when Dynamics-Invariant Data Augmentations Benefit Model-free Reinforcement Learning Updates ICLR 2024 UNEX-RL: Reinforcing Long-Term Rewards in Multi-Stage Recommender Systems with UNidirectional EXecution AAAI 2024 Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling UAI 2024 Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learning NeurIPS 2024 Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE NeurIPS 2024 Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization ICLR 2024 Universal Humanoid Motion Representations for Physics-Based Control ICLR 2024 Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball Representation ICML 2024 Unlock the Intermittent Control Ability of Model Free Reinforcement Learning NeurIPS 2024 Unsupervised Object Interaction Learning with Counterfactual Dynamics Models AAAI 2024 Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings ICML 2024 Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning AAAI 2024 Using Unity to Help Solve Reinforcement Learning NeurIPS 2024 Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training NeurIPS 2024 Value-Distributional Model-Based Reinforcement Learning JMLR 2024 Value-Evolutionary-Based Reinforcement Learning ICML 2024 Variational Delayed Policy Optimization NeurIPS 2024 Verified Safe Reinforcement Learning for Neural Network Dynamic Models NeurIPS 2024 Versatile Navigation Under Partial Observability via Value-guided Diffusion Policy CVPR 2024 Vertical Symbolic Regression via Deep Policy Gradient IJCAI 2024