Reinforcement Learning

CAPO: A Unified Policy Gradient Approach for Reward and Cost Optimization in Safe Reinforcement Learning (Student Abstract) AAAI 2026 Careful Queries, Credible Results: Teaching RAG Models Advanced Web Search Tools with Reinforcement Learning AAAI 2026 Causal Discovery for Efficient Offline RL with Factored Action Spaces CLeaR 2026 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 Central Limit Theorems for Asynchronous Averaged Q-Learning L4DC 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 City of Light (COL): A City-Scale, Geo-Anchored Urban Simulator with High-Throughput Multi-Sensor Streams AAAI 2026 Communication-efficient Multi-Agent Reinforcement Learning with Spatiotemporal Information Hub AAAI 2026 Complex Instruction Following with Diverse Style Policies in Football Games 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 CRISP: Curriculum-Inducing Primitive Informed Subgoal Prediction for Boosting Hierarchical Reinforcement Learning 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