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
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Papers (including subtopics)
State Proficiency-Based Adaptive Fine-Tuning for Offline-to-Online Reinforcement Learning
AAAI 2026
Stochastic Dominance Driven First-Order Policy Optimization for Multi-Objective Reinforcement Learning
UAI 2026
Strongly Polynomial Time Complexity of Policy Iteration for $L_∞$ Robust MDPs
COLT 2026
Symbolic Task Inference in Deep Reinforcement Learning (Abstract Reprint)
AAAI 2026
T4NMTD: Transition-Centric Reinforcement Learning for Non-Markovian Task Decomposition
AAAI 2026
TaxonRL: Reinforcement Learning with Intermediate Rewards for Interpretable Fine-Grained Visual Reasoning
WACV 2026
TD-M(PC)$^2$: Improving Temporal Difference MPC Through Policy Constraint
L4DC 2026
TeamHOI: Learning a Unified Policy for Cooperative Human-Object Interactions with Any Team Size
CVPR 2026
Team TüLK at SemEval-2026 Task 1: Humor Generation with Qwen and Group Relative Policy Optimization
SemEval 2026
Test-driven Reinforcement Learning in Continuous Control
AAAI 2026
Test-Time Reinforcement Learning for GUI Grounding via Region Consistency
AAAI 2026
Thinking with Drafts: Speculative Temporal Reasoning for Efficient Long Video Understanding
CVPR 2026
Thinking with Frames: Generative Video Distortion Evaluation via Frame Reward Model
CVPR 2026
Thinking With Videos: Multimodal Tool-Augmented Reinforcement Learning for Long Video Reasoning
CVPR 2026
Think, Speak, Decide: Language-Augmented Multi-Agent Reinforcement Learning for Economic Decision-Making
AAAI 2026
Tight Sample Complexity Bounds for Entropic Best Policy Identification
COLT 2026
TMAE:Learning Targeted Multi-Agent Exploration via Causal Inference
AAAI 2026
TORA: Train Once, Realign Anytime for Offline Multi-Objective Reinforcement Learning
AAAI 2026
Towards Fairness in Transportation Gig Markets: Identifying, Imitating, and Mitigating Algorithm Discrimination via Deep Reinforcement Learning
AAAI 2026
Training One Model to Master Cross-Level Agentic Actions via Reinforcement Learning
CVPR 2026
Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear q^π-Realizability and Concentrability
COLT 2026
Trajectory Tactics: When Transformers Learn Exploration to Generate Online Signature
WACV 2026
Treatment Stitching with Schrödinger Bridge for Enhancing Offline Reinforcement Learning in Adaptive Treatment Strategies
AAAI 2026
TSTM: Temporal Segmentation for Task-relevant Mask in Visual Reinforcement Learning Generalization
CVPR 2026
Turning Failures into Value: Negative Experience Replay for RLVR via Confidence Gating and Boundary Failure Sampling
ACL 2026