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)
Proactive Constrained Policy Optimization with Preemptive Penalty
AAAI 2026
Promoting Efficient Reasoning with Verifiable Stepwise Reward
AAAI 2026
PROMPTMINER: Black-Box Prompt Stealing against Text-to-Image Generative Models via Reinforcement Learning and VLM-Guided Optimization
CVPR 2026
Provably Safe Offline-to-Online RL: Decoupling Learning from Data-Driven Safety Enforcement
ACL 2026
Proximal Policy Optimization Suffices for On-Policy Reinforcement Learning
UAI 2026
PulseMind: A Multi-Modal Medical Model for Real-World Clinical Diagnosis
AAAI 2026
Push-and-Step: From RL-Based Balance Recovery to Physical Simulation of Dense Crowds
CVPR 2026
Qualitative Analysis of ω-Regular Objectives on Robust MDPs
AAAI 2026
R1-RE: Cross-Domain Relation Extraction with RLVR
ACL 2026
R-4B: Incentivizing General-Purpose Auto-Thinking in MLLMs via Bi-Mode Annealing and Reinforce Learning
CVPR 2026
RAPID: A Rapid Prototyping Platform for Industrial Automation
AAAI 2026
ReACT: Reward-informed Autoregressive Decision CAD Transformer
AAAI 2026
ReasonAct: Progressive Training for Fine-Grained Video Reasoning in Small Models
AAAI 2026
Reference-Free Schema Generation for Literature Review Tables via Multi-Faceted Rewards
ACL 2026
RehearseVLA: Simulated Post-Training for VLAs with Physically-Consistent World Model
CVPR 2026
Reinforcement Learning-based Adaptive Control of Classifier-Free Guidance and Timestep Embeddings in Diffusion Models
WACV 2026
Reinforcement Learning with Fuzzy Human Attention-Guided Graph for Heterogeneous Multiagent Systems
AAAI 2026
Reinforcement Learning Without Explicit Rewards: Theory and Practice
AAAI 2026
Reliability-Guaranteed and Reward-Seeking Sequence Modeling for Model-Based Offline Reinforcement Learning
AAAI 2026
Reliable Policy Transfer for Safety-Aware End-to-End Driving with Deep Reinforcement Learning
CVPR 2026
Revealing POMDPs: Qualitative and Quantitative Analysis for Parity Objectives
AAAI 2026
Revisiting TD Target Aggregation under Uncertainty in Q-Learning
UAI 2026
Reward Model Evaluation via Automatically-Ranked Policy Alignment
AAAI 2026
Reward Redistribution via Gaussian Process Likelihood Estimation
AAAI 2026
Risk-Sensitive Exponential Actor Critic
AAAI 2026