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)
Policy Optimization for CMDPs with Bandit Feedback: Learning Stochastic and Adversarial Constraints
ICML 2025
Policy-Regret Minimization in Markov Games with Function Approximation
ICML 2025
Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning
ICML 2025
PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization
ICLR 2025
Position: Constants are Critical in Regret Bounds for Reinforcement Learning
ICML 2025
Position: Lifetime tuning is incompatible with continual reinforcement learning
ICML 2025
POTEC: Off-Policy Contextual Bandits for Large Action Spaces via Policy Decomposition
ICLR 2025
Power Mean Estimation in Stochastic Continuous Monte-Carlo Tree Search
ICML 2025
Practicable Black-Box Evasion Attacks on Link Prediction in Dynamic Graphs—a Graph Sequential Embedding Method
AAAI 2025
Prediction-Aware Learning in Multi-Agent Systems
ICML 2025
Predictive Red Teaming: Breaking Policies Without Breaking Robots
CoRL 2025
PRED: Performance-oriented Random Early Detection for Consistently Stable Performance in Datacenters
NSDI 2025
Preference Adaptive and Sequential Text-to-Image Generation
ICML 2025
Preference-based Deep Reinforcement Learning for Historical Route Estimation
IJCAI 2025
Preference-CFR: Beyond Nash Equilibrium for Better Game Strategies
ICML 2025
Preference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization
ICML 2025
Preference Elicitation for Offline Reinforcement Learning
ICLR 2025
Preference Optimization for Combinatorial Optimization Problems
ICML 2025
Prevalence of Negative Transfer in Continual Reinforcement Learning: Analyses and a Simple Baseline
ICLR 2025
Primal-Dual Spectral Representation for Off-policy Evaluation
AISTATS 2025
Principal-Agent Bandit Games with Self-Interested and Exploratory Learning Agents
ICML 2025
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF
JMLR 2025
Prior Does Matter: Visual Navigation via Denoising Diffusion Bridge Models
CVPR 2025
PrioriTouch: Adapting to User Contact Preferences for Whole-Arm Physical Human-Robot Interaction
CoRL 2025
Private Federated Learning using Preference-Optimized Synthetic Data
ICML 2025