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Reinforcement Learning
767 directly classified papers
Papers per year
2006: 1
2007: 6
2008: 3
2009: 2
2010: 4
2011: 3
2012: 8
2013: 3
2014: 4
2016: 4
2017: 21
2018: 48
2019: 75
2020: 73
2021: 86
2022: 107
2023: 116
2024: 127
2025: 76
Papers
Supervised Pretraining Can Learn In-Context Reinforcement Learning
NIPS 2023
Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition
NIPS 2023
BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks
NIPS 2023
Improving Vision-and-Language Navigation by Generating Future-View Image Semantics
CVPR 2023
State Regularized Policy Optimization on Data with Dynamics Shift
NIPS 2023
Creating Multi-Level Skill Hierarchies in Reinforcement Learning
NIPS 2023
Learning World Models with Identifiable Factorization
NIPS 2023
Reward Gaming in Conditional Text Generation
ACL 2023
lilGym: Natural Language Visual Reasoning with Reinforcement Learning
ACL 2023
ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations
ACL 2023
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability
NIPS 2023
Yes, this Way! Learning to Ground Referring Expressions into Actions with Intra-episodic Feedback from Supportive Teachers
ACL 2023
Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates
NIPS 2023
Enhancing Educational Dialogues: A Reinforcement Learning Approach for Generating AI Teacher Responses
ACL 2023
Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data
ICML 2023
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL
NIPS 2023
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration
NIPS 2023
HIQL: Offline Goal-Conditioned RL with Latent States as Actions
NIPS 2023
Supported Value Regularization for Offline Reinforcement Learning
NIPS 2023
Unsupervised Skill Discovery via Recurrent Skill Training
NIPS 2022
You Can’t Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments
NIPS 2022
A Direct Approximation of AIXI Using Logical State Abstractions
NIPS 2022
Explicable Policy Search
NIPS 2022
Regret Bounds for Risk-Sensitive Reinforcement Learning
NIPS 2022
Reinforcement Learning with a Terminator
NIPS 2022
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