Deep RL

Hierarchical Reinforcement Learning with Topology-Aware Exploration Framework for Multi-path Commodity Flow Problem AAAI 2026 HTNav: A Hybrid Navigation Framework with Tiered Structure for Urban Aerial Vision-and-Language Navigation CVPR 2026 Hybrid PPO–DQN for Multi-Objective Adaptive Cruise Control in Eco-Driving: Reward Shaping Toward Safety and Sustainability (Student Abstract) AAAI 2026 Improving Stochastic Action-Constrained Reinforcement Learning via Truncated Distributions AAAI 2026 InfiniteWeb: Scalable Web Environment Synthesis for GUI Agent Training ACL 2026 Informative Subgraph Extraction with Deep Reinforcement Learning for Drug-Drug Interaction Prediction AAAI 2026 Interpretable Adversarial Reinforcement Learning AAAI 2026 InterPrior: Scaling Generative Control for Physics-Based Human-Object Interactions CVPR 2026 Iterative Closed-Loop Motion Synthesis for Scaling the Capabilities of Humanoid Control CVPR 2026 Keep On Going: Learning Robust Humanoid Motion Skills via Selective Adversarial Training AAAI 2026 Kernel-Based Safe Exploration in Deep Reinforcement Learning L4DC 2026 Latent State-Predictive Exploration for Deep Reinforcement Learning AAAI 2026 Learngene: Inheritable ‘Genes’ in Intelligent Agents (Abstract Reprint) AAAI 2026 Learning Branching Policies for MILPs with Proximal Policy Optimization AAAI 2026 Learning Object-Centric Motion Priors from Human for Robotic Dexterous Manipulation AAAI 2026 Learning Quantized Continuous Controllers for Integer Hardware L4DC 2026 Learning to Control Physically-simulated 3D Characters via Generating and Mimicking 2D Motions CVPR 2026 Learning to See and Act: Task-Aware Virtual View Exploration for Robotic Manipulation CVPR 2026 Lightweight and Faithful Visual Condition Checking in Behavior Trees via Expert-Regularized Reinforcement Learning ACL 2026 Local Motion Matters: A Deconstruct-Recompose Paradigm for Reinforcement Learning Pre-training from Videos CVPR 2026 Look Less, Reason More: Rollout-Guided Adaptive Pixel-Space Reasoning ACL 2026 MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sample-Efficient LLM Reasoning ACL 2026 MedLoc-R1: Performance-Aware Curriculum Reward Scheduling for GRPO-Based Medical Visual Grounding CVPR 2026 MemCoRL: Alternating Co-Optimization of Memory Retrieval and Utilization via Collaborative Reinforcement Learning ACL 2026 Memory-Augmented Representation for Efficient Event-based Visuomotor Policy Learning with Adaptive Perception and Control WACV 2026