Deep RL

DSAP: Enhancing Generalization in Goal-Conditioned Reinforcement Learning AAAI 2026 DynaRL: Flexible and Dynamic Scheduling of Large-Scale Reinforcement Learning Training OSDI 2026 DyPNIPP: Predicting Environment Dynamics for RL-based Robust Informative Path Planning L4DC 2026 EA: Managing Green Data Centers Using Deep Reinforcement Learning Without Discounting AAAI 2026 Efficient Q-Learning and Actor–Critic Methods for Robust Average-Reward Reinforcement Learning. UAI 2026 Enhancing Diffusion Policies with Distribution-Matching Generator in Offline Reinforcement Learning AAAI 2026 Enhancing Inverse Reinforcement Learning through Encoding Dynamic Information in Reward Shaping L4DC 2026 ESCA: An Emotional Support Conversation Agent for Enhancing Reasonable Strategy Planning and Effective Expression AAAI 2026 EvoID: Reinforced Evolution for Identity-Preserving Video Generation CVPR 2026 Expand and Prune: Maximizing Trajectory Diversity for Effective GRPO in Generative Models CVPR 2026 Experience-driven Multi-turn Reinforcement Learning for GUI Agents ACL 2026 Explore to Learn: Latent Exploration Through Disentangled Synergy Patterns for Reinforcement Learning in Overactuated Control AAAI 2026 FDC-Ground: Improving GRPO for GUI Grounding via Exponential Rewards and Fact-Aligned Pruning AAAI 2026 First-Order Representation Languages for Goal-Conditioned RL AAAI 2026 From Exploration to Exploitation: A Two-Stage Entropy RLVR Approach for Noise-Tolerant MLLM Training CVPR 2026 From log 𝜋 to 𝜋: Taming Divergence in Soft Clipping via Bilateral Decoupled Decay of Probability Gradient Weight ACL 2026 GINO-Q: Learning an Asymptotically Optimal Index Policy for Restless Multi-armed Bandits AAAI 2026 Global Convergence of Average Reward Constrained MDPs with Neural Critic and General Policy Parameterization UAI 2026 Goal-Driven Reward by Video Diffusion Models for Reinforcement Learning CVPR 2026 Gradient-Protected Value Decomposition for Cooperative Multi-Agent Reinforcement Learning AAAI 2026 GraphRAG-Induced Dual Knowledge Structure Graphs for Personalized Learning Path Recommendation AAAI 2026 GRDC: A Unified Graph-Driven Framework for Role Discovery and Communication in Multi-Agent Reinforcement Learning AAAI 2026 G-UBS: Towards Robust Understanding of Implicit Feedback via Group-Aware User Behavior Simulation AAAI 2026 Harmonizing Dense and Sparse Signals in Multi-turn RL: Dual-Horizon Credit Assignment for Industrial Sales Agents ACL 2026 HCPO: Hierarchical Conductor-Based Policy Optimization in Multi-Agent Reinforcement Learning AAAI 2026