Methods

Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning AAAI 2026 Causal Process Models: Reframing Dynamic Causal Graph Discovery as a Reinforcement Learning Problem CLeaR 2026 Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning via Predictive Observation Imputation (Abstract Reprint) AAAI 2026 Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards ACL 2026 CHDP: Cooperative Hybrid Diffusion Policies for Reinforcement Learning in Parameterized Action Space AAAI 2026 Communication-efficient Multi-Agent Reinforcement Learning with Spatiotemporal Information Hub AAAI 2026 Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment EACL 2026 Constrained and Robust Policy Synthesis with Satisfiability-Modulo-Probabilistic-Model-Checking AAAI 2026 Constraint-Aware Reinforcement Learning via Adaptive Action Scaling L4DC 2026 Context-Sensitive Abstractions for Reinforcement Learning with Parameterized Actions AAAI 2026 Continuous time policy evaluation is easier with noisy dynamics COLT 2026 Convergence of Fast Policy Iteration in Markov Games and Robust MDPs AAAI 2026 Coordinated Humanoid Robot Locomotion with Symmetry Equivariant Reinforcement Learning Policy AAAI 2026 CRAF: A Clinical Reasoning-Adaptive Framework via Reinforcement Learning for Similar Case Retrieval AAAI 2026 CtoD-MAT: Bridging Centralized and Decentralized Execution in Multi-Agent Reinforcement Learning (Student Abstract) AAAI 2026 Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation CVPR 2026 D²PPO: Diffusion Policy Policy Optimization with Dispersive Loss AAAI 2026 Deep Q-Learning on Hölder Spaces COLT 2026 Deep Reinforcement Learning for Scalable Offline Three-Dimensional Packing AAAI 2026 Dejavu: Towards Experience Feedback Learning for Embodied Intelligence CVPR 2026 Deliberative Searcher: Improving LLM Reliability via Reinforcement Learning with Constraints ACL 2026 DemoFunGrasp: Universal Dexterous Functional Grasping via Demonstration-Editing Reinforcement Learning CVPR 2026 Designing Incentives for Networked Multi-agent Systems AAAI 2026 Detect Anything via Next Point Prediction CVPR 2026 DialogXpert: Driving Intelligent and Emotion-Aware Conversations Through Online Value-Based Reinforcement Learning with LLM Priors AAAI 2026