Deep RL
4,525 papers
Papers per year
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14
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9
21
27
32
21
17
11
33
103
241
418
498
571
533
585
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181
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Papers
PanoEnv: Exploring 3D Spatial Intelligence in Panoramic Environments with Reinforcement Learning
CVPR 2026
Perceiving the Knowledge Boundary: Uncertainty-Guided Exploration and Imagination for World Models
AAAI 2026
Planning in Branch-and-Bound: Model-Based Reinforcement Learning for Exact Combinatorial Optimization
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
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
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
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 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
Revisiting TD Target Aggregation under Uncertainty in Q-Learning
UAI 2026
Reward Redistribution via Gaussian Process Likelihood Estimation
AAAI 2026
Risk-Sensitive Exponential Actor Critic
AAAI 2026
RL-ScanIQA: Reinforcement-Learned Scanpaths for Blind 360deg Image Quality Assessment
CVPR 2026
RLSLM: A Hybrid Framework Combining Reinforcement Learning and a Rule-based Social Locomotion Model for Socially-aware Navigation
AAAI 2026
Robust Adaptive Multi-Step Predictive Shielding (Student Abstract)
AAAI 2026