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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)

Position: Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination ICML 2024 Positivity-free Policy Learning with Observational Data AISTATS 2024 Potential-Based Reward Shaping for Intrinsic Motivation (Student Abstract) AAAI 2024 PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping AAAI 2024 Pragmatic Feature Preferences: Learning Reward-Relevant Preferences from Human Input ICML 2024 PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models CVPR 2024 Predicting Future Actions of Reinforcement Learning Agents NeurIPS 2024 Predictive Performance Comparison of Decision Policies Under Confounding ICML 2024 Pre-emptive Action Revision by Environmental Feedback for Embodied Instruction Following Agents CoRL 2024 Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data ICML 2024 Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss ICML 2024 Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation NeurIPS 2024 Pre-trained Visual Dynamics Representations for Efficient Policy Learning ECCV 2024 Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning ICLR 2024 Pre-training with Synthetic Data Helps Offline Reinforcement Learning ICLR 2024 PRewrite: Prompt Rewriting with Reinforcement Learning ACL 2024 PRIMO: Progressive Induction for Multi-hop Open Rule Generation COLING 2024 Principal-Agent Reward Shaping in MDPs AAAI 2024 Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF ICML 2024 Prior-dependent analysis of posterior sampling reinforcement learning with function approximation AISTATS 2024 Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning ICLR 2024 PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control ICML 2024 Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients AISTATS 2024 Privacy Preserving Adaptive Experiment Design ICML 2024 Privacy-Preserving Decentralized Actor-Critic for Cooperative Multi-Agent Reinforcement Learning AISTATS 2024