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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
Multi-Agent First Order Constrained Optimization in Policy Space
NIPS 2023
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning
NIPS 2023
Recovering from Out-of-sample States via Inverse Dynamics in Offline Reinforcement Learning
NIPS 2023
Constrained Decision Transformer for Offline Safe Reinforcement Learning
ICML 2023
Instructing Goal-Conditioned Reinforcement Learning Agents with Temporal Logic Objectives
NIPS 2023
Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning
NIPS 2023
Learning to Modulate pre-trained Models in RL
NIPS 2023
HIQL: Offline Goal-Conditioned RL with Latent States as Actions
NIPS 2023
Reduced Policy Optimization for Continuous Control with Hard Constraints
NIPS 2023
Adaptive Ordered Information Extraction with Deep Reinforcement Learning
ACL 2023
Efficient Potential-based Exploration in Reinforcement Learning using Inverse Dynamic Bisimulation Metric
NIPS 2023
Supported Value Regularization for Offline Reinforcement Learning
NIPS 2023
Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization
NIPS 2023
Learning World Models with Identifiable Factorization
NIPS 2023
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion
CVPR 2023
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability
NIPS 2023
ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations
ACL 2023
Reward Gaming in Conditional Text Generation
ACL 2023
Efficient Symbolic Policy Learning with Differentiable Symbolic Expression
NIPS 2023
Co-Speech Gesture Synthesis by Reinforcement Learning With Contrastive Pre-Trained Rewards
CVPR 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
lilGym: Natural Language Visual Reasoning with Reinforcement Learning
ACL 2023
BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks
NIPS 2023
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning
NIPS 2023
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