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deep reinforcement learning

903 papers

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Also known as

DRQN DEEP RL DDQ DQN DRL DRL NULL DRL OR NULL DQFD RL

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

BILE: An Effective Behavior-based Latent Exploration Scheme for Deep Reinforcement Learning IJCAI 2025
Finite Expression Method for Solving High-Dimensional Partial Differential Equations JMLR 2025
BFTBrain: Adaptive BFT Consensus with Reinforcement Learning NSDI 2025
A Case for Validation Buffer in Pessimistic Actor-Critic IJCAI 2025
BeamDojo: Learning Agile Humanoid Locomotion on Sparse Footholds RSS 2025
Deduction with Induction: Combining Knowledge Discovery and Reasoning for Interpretable Deep Reinforcement Learning IJCAI 2025
ERCI: An Explainable Experience Replay Approach with Causal Inference for Deep Reinforcement Learning AAAI 2025
Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation AAAI 2025
Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes AAAI 2025
Reinforcement Learning for Hybrid Charging Stations Planning and Operation Considering Fixed and Mobile Chargers IJCAI 2025
RLLTE: Long-Term Evolution Project of Reinforcement Learning AAAI 2025
Towards Robust, Efficient, and Practical Decision-Making: From Reward-Maximizing Deep Reinforcement Learning to Reward-Matching GFlowNets AAAI 2025
Semantic-Aware Action Space Compression via LLM-DRL Synergy for Efficient Task-oriented Dialogue Policy Exploration EMNLP 2025
SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch AAAI 2025
Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents JMLR 2025
ULTHO: Ultra-Lightweight yet Efficient Hyperparameter Optimization in Deep Reinforcement Learning ICCV 2025
Hierarchical and Modular Network on Non-prehensile Manipulation in General Environments RSS 2025
Optimizing Return Distributions with Distributional Dynamic Programming JMLR 2025
ModelDiff: Symbolic Dynamic Programming for Model-Aware Policy Transfer in Deep Q-Learning AAAI 2025
Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning AAAI 2024
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning AAAI 2024
CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems AAAI 2024
State Chrono Representation for Enhancing Generalization in Reinforcement Learning NIPS 2024
FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation NIPS 2024
AGILE: A Novel Reinforcement Learning Framework of LLM Agents NIPS 2024