conftrace_

deep reinforcement learning

903 papers

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Also known as

DEEP RL DRL

Co-occurring keywords

reinforcement learning (4122) policy learning (699) sample efficiency (469) neural network (6616) continuous control (246) multi-agent system (1743) policy gradient (518) policy optimization (630) value function (294) off-policy learning (227)

Papers

EA: Managing Green Data Centers Using Deep Reinforcement Learning Without Discounting AAAI 2026

Coordinated Humanoid Robot Locomotion with Symmetry Equivariant Reinforcement Learning Policy 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

AcoustoReinforce: Multi-Particle Acoustophoretic Path Planning with Deep Reinforcement Learning AAAI 2026

Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning AAAI 2026

DRMD: Deep Reinforcement Learning for Malware Detection Under Concept Drift AAAI 2026

DIMM: Decoupled Multi-hierarchy Kalman Filter via Reinforcement Learning AAAI 2026

A Unified Self-Regulating Training Framework for Federated Deep Reinforcement Learning AAAI 2026

DialogXpert: Driving Intelligent and Emotion-Aware Conversations Through Online Value-Based Reinforcement Learning with LLM Priors AAAI 2026

Hybrid PPO–DQN for Multi-Objective Adaptive Cruise Control in Eco-Driving: Reward Shaping Toward Safety and Sustainability (Student Abstract) AAAI 2026

Towards Fairness in Transportation Gig Markets: Identifying, Imitating, and Mitigating Algorithm Discrimination via Deep Reinforcement Learning AAAI 2026

Deep Reinforcement Learning for Scalable Offline Three-Dimensional Packing AAAI 2026

Latent State-Predictive Exploration for Deep Reinforcement Learning AAAI 2026

The GATTACA Framework: Graph Neural Network-Based Reinforcement Learning for Controlling Biological Networks AAAI 2026

Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms AAAI 2026

Informative Subgraph Extraction with Deep Reinforcement Learning for Drug-Drug Interaction Prediction AAAI 2026

Towards Robust, Efficient, and Practical Decision-Making: From Reward-Maximizing Deep Reinforcement Learning to Reward-Matching GFlowNets AAAI 2025

Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes AAAI 2025

RLLTE: Long-Term Evolution Project of Reinforcement Learning AAAI 2025

ERCI: An Explainable Experience Replay Approach with Causal Inference for Deep Reinforcement Learning AAAI 2025

ULTHO: Ultra-Lightweight yet Efficient Hyperparameter Optimization in Deep Reinforcement Learning ICCV 2025

APIRL: Deep Reinforcement Learning for REST API Fuzzing AAAI 2025

Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation AAAI 2025

Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework AAAI 2025