deep reinforcement learning

AcoustoReinforce: Multi-Particle Acoustophoretic Path Planning with Deep Reinforcement Learning AAAI 2026 A Unified Self-Regulating Training Framework for Federated Deep Reinforcement Learning AAAI 2026 Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning AAAI 2026 Coordinated Humanoid Robot Locomotion with Symmetry Equivariant Reinforcement Learning Policy AAAI 2026 Deep Reinforcement Learning for Scalable Offline Three-Dimensional Packing AAAI 2026 DialogXpert: Driving Intelligent and Emotion-Aware Conversations Through Online Value-Based Reinforcement Learning with LLM Priors AAAI 2026 DIMM: Decoupled Multi-hierarchy Kalman Filter via Reinforcement Learning AAAI 2026 DRMD: Deep Reinforcement Learning for Malware Detection Under Concept Drift AAAI 2026 EA: Managing Green Data Centers Using Deep Reinforcement Learning Without Discounting AAAI 2026 Enhancing Control Policy Smoothness by Aligning Actions with Predictions from Preceding States AAAI 2026 Hierarchical Reinforcement Learning with Topology-Aware Exploration Framework for Multi-path Commodity Flow Problem AAAI 2026 Hybrid PPO–DQN for Multi-Objective Adaptive Cruise Control in Eco-Driving: Reward Shaping Toward Safety and Sustainability (Student Abstract) AAAI 2026 Informative Subgraph Extraction with Deep Reinforcement Learning for Drug-Drug Interaction Prediction AAAI 2026 Kernel-Based Safe Exploration in Deep Reinforcement Learning L4DC 2026 Latent State-Predictive Exploration for Deep Reinforcement Learning AAAI 2026 Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms AAAI 2026 Push-and-Step: From RL-Based Balance Recovery to Physical Simulation of Dense Crowds CVPR 2026 Reliable Policy Transfer for Safety-Aware End-to-End Driving with Deep Reinforcement Learning CVPR 2026 The GATTACA Framework: Graph Neural Network-Based Reinforcement Learning for Controlling Biological Networks AAAI 2026 Towards Fairness in Transportation Gig Markets: Identifying, Imitating, and Mitigating Algorithm Discrimination via Deep Reinforcement Learning AAAI 2026 A Case for Validation Buffer in Pessimistic Actor-Critic IJCAI 2025 Accelerating Task Generalisation with Multi-Level Skill Hierarchies ICLR 2025 Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning ICLR 2025 Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning AAAI 2025 An Efficient Dialogue Policy Agent with Model-Based Causal Reinforcement Learning COLING 2025