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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)

Privacy-Preserving UCB Decision Process Verification via zk-SNARKs IJCAI 2024 Privileged Sensing Scaffolds Reinforcement Learning ICLR 2024 Probabilistic Constrained Reinforcement Learning with Formal Interpretability ICML 2024 Probabilistic Offline Policy Ranking with Approximate Bayesian Computation AAAI 2024 Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games ACL 2024 Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs COLT 2024 Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences CVPR 2024 Prompt-Based Length Controlled Generation with Multiple Control Types ACL 2024 Proofread: Fixes All Errors with One Tap ACL 2024 Prospective Side Information for Latent MDPs ICML 2024 Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo ICLR 2024 Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes ICLR 2024 Provable Offline Preference-Based Reinforcement Learning ICLR 2024 Provable Partially Observable Reinforcement Learning with Privileged Information NeurIPS 2024 Provable Policy Gradient Methods for Average-Reward Markov Potential Games AISTATS 2024 Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning ICML 2024 Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation ICML 2024 Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation NeurIPS 2024 Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret ICML 2024 Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search through State Occupancy Regularization ICML 2024 Provably Efficient Partially Observable Risk-sensitive Reinforcement Learning with Hindsight Observation ICML 2024 Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation NeurIPS 2024 Provably Robust DPO: Aligning Language Models with Noisy Feedback ICML 2024 Provably Safe Online Multi-Agent Navigation in Unknown Environments CoRL 2024 Proximal Curriculum with Task Correlations for Deep Reinforcement Learning IJCAI 2024