deep reinforcement learning

Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation AAAI 2025 Semantic-Aware Action Space Compression via LLM-DRL Synergy for Efficient Task-oriented Dialogue Policy Exploration EMNLP 2025 SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning ICLR 2025 Sketch Decompositions for Classical Planning via Deep Reinforcement Learning IJCAI 2025 SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks AAAI 2025 SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch AAAI 2025 Stabilizing and Accelerating Autofocus with Expert Trajectory Regularized Deep Reinforcement Learning CVPR 2025 Towards General-Purpose Model-Free Reinforcement Learning ICLR 2025 Towards Robust, Efficient, and Practical Decision-Making: From Reward-Maximizing Deep Reinforcement Learning to Reward-Matching GFlowNets AAAI 2025 ULTHO: Ultra-Lightweight yet Efficient Hyperparameter Optimization in Deep Reinforcement Learning ICCV 2025 Visual Reinforcement Learning with Residual Action AAAI 2025 WAVE: Wasserstein Adaptive Value Estimation for Actor-Critic Reinforcement Learning L4DC 2025 A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points IJCAI 2024 Actor Prioritized Experience Replay (Abstract Reprint) AAAI 2024 Adaptive Q-Aid for Conditional Supervised Learning in Offline Reinforcement Learning NeurIPS 2024 Adaptive Order Q-learning IJCAI 2024 Adaptive Rational Activations to Boost Deep Reinforcement Learning ICLR 2024 Addressing Signal Delay in Deep Reinforcement Learning ICLR 2024 A Deep Reinforcement Learning Approach to Balance Viewport Prediction and Video Transmission in 360° Video Streaming IJCAI 2024 ADESSE: Advice Explanations in Complex Repeated Decision-Making Environments IJCAI 2024 ADOPT: Modified Adam Can Converge with Any β_2 with the Optimal Rate NeurIPS 2024 Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment ICML 2024 Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms AAAI 2024 Adversarial Environment Design via Regret-Guided Diffusion Models NeurIPS 2024 AGILE: A Novel Reinforcement Learning Framework of LLM Agents NeurIPS 2024