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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

FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation NIPS 2024
Task Planning for Object Rearrangement in Multi-Room Environments AAAI 2024
Deep Reinforcement Learning with Hierarchical Action Exploration for Dialogue Generation COLING 2024
Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing AAAI 2024
Adversarial Environment Design via Regret-Guided Diffusion Models NIPS 2024
i-Rebalance: Personalized Vehicle Repositioning for Supply Demand Balance AAAI 2024
Amortized Active Causal Induction with Deep Reinforcement Learning NIPS 2024
Balanced reward-inspired reinforcement learning for autonomous vehicle racing L4DC 2024
Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms AAAI 2024
Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn NIPS 2024
Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning AAAI 2024
Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces AAAI 2024
Learning to Control Camera Exposure via Reinforcement Learning CVPR 2024
SUF: Stabilized Unconstrained Fine-Tuning for Offline-to-Online Reinforcement Learning AAAI 2024
Can You Rely on Synthetic Labellers in Preference-Based Reinforcement Learning? It’s Complicated AAAI 2024
Learning Diverse Risk Preferences in Population-Based Self-Play AAAI 2024
Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers NIPS 2024
Deep Reinforcement Learning-based Dialogue Policy with Graph Convolutional Q-network COLING 2024
RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing AAAI 2024
Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks AAAI 2024
State Chrono Representation for Enhancing Generalization in Reinforcement Learning NIPS 2024
Deep Reinforcement Learning for Early Diagnosis of Lung Cancer AAAI 2024
Backpropagation Through Agents AAAI 2024
Distributional Reinforcement Learning with Regularized Wasserstein Loss NIPS 2024
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning JMLR 2023