Methods
8,258 papers (12 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
6
1
2
2
16
21
24
16
31
36
44
47
44
37
63
171
350
606
801
920
974
1,144
1,380
1,203
319
'5
'10
'15
'20
'25
Papers (including subtopics)
Obstruction Reasoning for Robotic Grasping
CVPR 2026
Offline Fictitious Self-Play for Competitive Games
AAAI 2026
Offline Meta-Reinforcement Learning with Flow-Based Task Inference and Adaptive Correction of Feature Overgeneralization
AAAI 2026
Offline Multi-Objective Bandits: From Logged Data to Pareto-Optimal Policies
AAAI 2026
Offline Reinforcement Learning for Rotation Profile Control in Tokamaks
L4DC 2026
OffRIPP: Offline RL-based Informative Path Planning
L4DC 2026
OneFont: A Unified Agent for End-to-End Font Creation
AAAI 2026
One-Step Generative Policies with Q-Learning: A Reformulation of MeanFlow
AAAI 2026
On the Exponential Convergence for Offline RLHF with Pairwise Comparisons
AAAI 2026
On-the-Fly VLA Adaptation via Test-Time Reinforcement Learning
ACL 2026
On the Hidden Objective Biases of Group-based Reinforcement Learning
ACL 2026
Opening the Sim-to-Real Door for Humanoid Pixel-to-Action Policy Transfer
CVPR 2026
OralGPT-Plus: Learning to Use Visual Tools via Reinforcement Learning for Panoramic X-ray Analysis
CVPR 2026
Out-of-Distribution Generalization with a SPARC: Racing 100 Unseen Vehicles with a Single Policy
AAAI 2026
PaCo-RL: Advancing Reinforcement Learning for Consistent Image Generation with Pairwise Reward Modeling
CVPR 2026
PanoEnv: Exploring 3D Spatial Intelligence in Panoramic Environments with Reinforcement Learning
CVPR 2026
Partial Action Replacement: Tackling Distribution Shift in Offline MARL
AAAI 2026
Perceiving the Knowledge Boundary: Uncertainty-Guided Exploration and Imagination for World Models
AAAI 2026
Planning in 8 Tokens: A Compact Discrete Tokenizer for Latent World Model
CVPR 2026
Planning in Branch-and-Bound: Model-Based Reinforcement Learning for Exact Combinatorial Optimization
AAAI 2026
Policy-Based Trajectory Clustering in Offline Reinforcement Learning
UAI 2026
Policy Newton Methods for Distortion Riskmetrics
AAAI 2026
Policy Zooming: Adaptive Discretization-based Infinite-Horizon Average-Reward Reinforcement Learning
AAAI 2026
Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm
AAAI 2026
PQDA:Policy-Aligned Q-Consistency Meets Decoupled Augmentation for Generalizable Visual RL
AAAI 2026