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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83
216
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722
966
1,128
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362
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Papers (including subtopics)
LocoFormer: Generalist Locomotion via Long-context Adaptation
CoRL 2025
LocoTouch: Learning Dynamic Quadrupedal Transport with Tactile Sensing
CoRL 2025
LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations
CoRL 2025
Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions
AAAI 2025
Logarithmic regret of exploration in average reward Markov decision processes
COLT 2025
Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning
AAAI 2025
Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning
ICML 2025
Long Range Navigator (LRN): Extending robot planning horizons beyond metric maps
CoRL 2025
LongReward: Improving Long-context Large Language Models with AI Feedback
ACL 2025
Long-VLA: Unleashing Long-Horizon Capability of Vision Language Action Model for Robot Manipulation
CoRL 2025
Look Again, Think Slowly: Enhancing Visual Reflection in Vision-Language Models
EMNLP 2025
Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling
ACL 2025
LSRL: Process-Supervised GRPO on Latent Recurrent States Improves Mathematical Reasoning
EMNLP 2025
Lucid-XR: An Extended-Reality Data Engine for Robotic Manipulation
CoRL 2025
M$^3$HF: Multi-agent Reinforcement Learning from Multi-phase Human Feedback of Mixed Quality
ICML 2025
M^3PC: Test-time Model Predictive Control using Pretrained Masked Trajectory Model
ICLR 2025
MA$^2$E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-Encoder
ICLR 2025
MADS: Multi-Agent Dialogue Simulation for Diverse Persuasion Data Generation
EMNLP 2025
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces
ICML 2025
ManipTrans: Efficient Dexterous Bimanual Manipulation Transfer via Residual Learning
CVPR 2025
ManiSkill-HAB: A Benchmark for Low-Level Manipulation in Home Rearrangement Tasks
ICLR 2025
MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning
ACL 2025
Mapping Smarter, Not Harder: A Test-Time Reinforcement Learning Agent That Improve Without Labels or Model Updates
EMNLP 2025
Marco-o1 v2: Towards Widening The Distillation Bottleneck for Reasoning Models
ACL 2025
Marginal Benefit Driven RL Teacher for Unsupervised Environment Design
AAAI 2025