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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)

Minimax-optimal reward-agnostic exploration in reinforcement learning COLT 2024 Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction NeurIPS 2024 Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning COLT 2024 Mitigating Open-Vocabulary Caption Hallucinations EMNLP 2024 Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy NeurIPS 2024 Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation NeurIPS 2024 Mitigating the Alignment Tax of RLHF EMNLP 2024 Mixtures of Experts Unlock Parameter Scaling for Deep RL ICML 2024 Model-based Diffusion for Trajectory Optimization NeurIPS 2024 Model-based Policy Optimization under Approximate Bayesian Inference AISTATS 2024 Model-based Reinforcement Learning for Confounded POMDPs ICML 2024 Model-based Reinforcement Learning for Parameterized Action Spaces ICML 2024 Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RL ICML 2024 Model-Based Transfer Learning for Contextual Reinforcement Learning NeurIPS 2024 Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation NeurIPS 2024 Model-Free Representation Learning and Exploration in Low-Rank MDPs JMLR 2024 Model-Free Robust $φ$-Divergence Reinforcement Learning Using Both Offline and Online Data ICML 2024 Mollification Effects of Policy Gradient Methods ICML 2024 Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments ICML 2024 Monte Carlo Tree Search in the Presence of Transition Uncertainty AAAI 2024 MORE-3S:Multimodal-based Offline Reinforcement Learning with Shared Semantic Spaces COLING 2024 More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning ICML 2024 MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization EMNLP 2024 MPC-inspired reinforcement learning for verifiable model-free control L4DC 2024 M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions ACL 2024