Reinforcement Learning
9,982 papers (145 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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2
9
27
30
36
20
43
49
59
61
58
51
83
216
419
722
966
1,128
1,156
1,384
1,648
1,445
362
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Papers (including subtopics)
The Accuracy Paradox in RLHF: When Better Reward Models Don’t Yield Better Language Models
EMNLP 2024
The CoachAI Badminton Environment: A Novel Reinforcement Learning Environment with Realistic Opponents (Student Abstract)
AAAI 2024
The CoachAI Badminton Environment: Bridging the Gap between a Reinforcement Learning Environment and Real-World Badminton Games
AAAI 2024
The Dormant Neuron Phenomenon in Multi-Agent Reinforcement Learning Value Factorization
NeurIPS 2024
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning
NeurIPS 2024
Theia: Distilling Diverse Vision Foundation Models for Robot Learning
CoRL 2024
The Importance of Online Data: Understanding Preference Fine-tuning via Coverage
NeurIPS 2024
The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space
NeurIPS 2024
The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free Algorithm
ICML 2024
The Non-linear F-Design and Applications to Interactive Learning
ICML 2024
The Power of Resets in Online Reinforcement Learning
NeurIPS 2024
The surprising efficiency of temporal difference learning for rare event prediction
NeurIPS 2024
The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning
NeurIPS 2024
The Value of Reward Lookahead in Reinforcement Learning
NeurIPS 2024
Think Before You Act: Decision Transformers with Working Memory
ICML 2024
Tight Rates for Bandit Control Beyond Quadratics
NeurIPS 2024
Tilde: Teleoperation for Dexterous In-Hand Manipulation Learning with a DeltaHand
RSS 2024
Time-Constrained Robust MDPs
NeurIPS 2024
Time-Efficient Reinforcement Learning with Stochastic Stateful Policies
ICLR 2024
Timing as an Action: Learning When to Observe and Act
AISTATS 2024
TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback
ACL 2024
ToolPlanner: A Tool Augmented LLM for Multi Granularity Instructions with Path Planning and Feedback
EMNLP 2024
To Promote Full Cooperation in Social Dilemmas, Agents Need to Unlearn Loyalty
IJCAI 2024
TorchRL: A data-driven decision-making library for PyTorch
ICLR 2024
To the Max: Reinventing Reward in Reinforcement Learning
ICML 2024