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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9
27
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36
20
43
49
59
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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)
Ignore the KL Penalty! Boosting Exploration on Critical Tokens to Enhance RL Fine-Tuning
NAACL 2025
IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic
ICML 2025
Image Difference Captioning via Adversarial Preference Optimization
EMNLP 2025
Imagination-Limited Q-Learning for Offline Reinforcement Learning
IJCAI 2025
Imitation Learning Backoff: Reinforcement Learning-based Channel Access for Guaranteeing Fairness (Student Abstract)
AAAI 2025
Imitation Learning Based on Disentangled Representation Learning of Behavioral Characteristics
CoRL 2025
Imitation Learning from a Single Temporally Misaligned Video
ICML 2025
Imitation Learning via Focused Satisficing
IJCAI 2025
IMLE Policy: Fast and Sample Efficient Visuomotor Policy Learning via Implicit Maximum Likelihood Estimation
RSS 2025
Implicitly Aligning Humans and Autonomous Agents through Shared Task Abstractions
IJCAI 2025
Implicit Neural-Representation Learning for Elastic Deformable-Object Manipulations
RSS 2025
Improved Lower Bounds for First-order Stochastic Non-convex Optimization under Markov Sampling
ICML 2025
Improved Offline Contextual Bandits with Second-Order Bounds: Betting and Freezing
COLT 2025
Improved Off-policy Reinforcement Learning in Biological Sequence Design
ICML 2025
Improved Online Confidence Bounds for Multinomial Logistic Bandits
ICML 2025
Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance
ICML 2025
Improved Regret Bounds for Online Fair Division with Bandit Learning
AAAI 2025
Improve Vision Language Model Chain-of-thought Reasoning
ACL 2025
Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning
AAAI 2025
Improving Retrospective Language Agents via Joint Policy Gradient Optimization
NAACL 2025
Improving Reward Model Generalization from Adversarial Process Enhanced Preferences
ICML 2025
Improving the Continuity of Goal-Achievement Ability via Policy Self-Regularization for Goal-Conditioned Reinforcement Learning
ICML 2025
Improving the Language Understanding Capabilities of Large Language Models Using Reinforcement Learning
EMNLP 2025
Improving Transformer World Models for Data-Efficient RL
ICML 2025
Improving Value Estimation Critically Enhances Vanilla Policy Gradient
ICML 2025