Reinforcement Learning

HTNav: A Hybrid Navigation Framework with Tiered Structure for Urban Aerial Vision-and-Language Navigation CVPR 2026 Human-in-the-Loop Bandwidth Estimation for Quality of Experience Optimization in Real-Time Video Communication AAAI 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 Investigating the Impact of Direct Punishment on the Emergence of Cooperation in Mulit-agent Reinforcement Learning Systems (Abstract Reprint) AAAI 2026 IPR-1: Interactive Physical Reasoner 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 Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations AAAI 2026 Learning from the Irrecoverable: Error-Localized Policy Optimization for Tool-Integrated LLM Reasoning ACL 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 accelerate distributed ADMM using graph neural networks L4DC 2026 Learning to Act Through Contact: A Unified View of Multi-Task Robot Learning L4DC 2026 Learning to Assist: Physics-Grounded Human-Human Control via Multi-Agent Reinforcement Learning CVPR 2026 Learning to Control Physically-simulated 3D Characters via Generating and Mimicking 2D Motions CVPR 2026 Learning to Cooperate with Minimal Observability AAAI 2026