Methods
8,258 papers (12 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
6
1
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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)
Turn-PPO: Turn-Level Advantage Estimation with PPO for Improved Multi-Turn RL in Agentic LLMs
EACL 2026
Universal Compressed Image Restoration via Codec-Aware Conditioning with Reinforcement Learning
AAAI 2026
Unlocking Token Rewards via Training-Free Reward Attribution
CVPR 2026
UNO! UNified Offline Training Paradigm for Learning Path Recommendation
AAAI 2026
Variance Reduction via Resampling and Experience Replay
AAAI 2026
Variational OOD State Correction for Offline Reinforcement Learning
AAAI 2026
VAR RL Done Right: Tackling Asynchronous Policy Conflicts in Visual Autoregressive Generation
CVPR 2026
VEG: Verbal 𝜖-greedy for Semantic Exploration in Multi-Turn RL Agents
ACL 2026
VideoSeg-R1:Reasoning Video Object Segmentation via Reinforcement Learning
AAAI 2026
VideoSSR: Video Self-Supervised Reinforcement Learning
CVPR 2026
VIL2C: Value-of-Information Aware Low-Latency Communication for Multi-Agent Reinforcement Learning
AAAI 2026
VIRAL: Visual Sim-to-Real at Scale for Humanoid Loco-Manipulation
CVPR 2026
V-Pruner: A Fast and Globally-informed Token Pruning Framework for Vision Transformer
AAAI 2026
VQAThinker: Exploring Generalizable and Explainable Video Quality Assessment via Reinforcement Learning
AAAI 2026
Where and What Matters: Sensitivity-Aware Task Vectors for Many-Shot Multimodal In-Context Learning
AAAI 2026
WIST: Web-Grounded Iterative Self-Play Tree for Domain-Targeted Reasoning Improvement
ACL 2026
WOMBET: World Model-based Experience Transfer for Robust and Sample-efficient Reinforcement Learning
L4DC 2026
Workflow Search Reinforcement Learning over Structured Decompositions
L4DC 2026
Write Where It Matters: Policy-Guided Watermarks for 3D Gaussian Splatting
CVPR 2026
$Door(s)$: Junction State Estimation for Efficient Exploration in Reinforcement Learning
CoRL 2025
φ-Update: A Class of Policy Update Methods with Policy Convergence Guarantee
ICLR 2025
q-exponential family for policy optimization
ICLR 2025
A Case for Validation Buffer in Pessimistic Actor-Critic
IJCAI 2025
Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards
L4DC 2025
Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach
ICML 2025