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

RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing AAAI 2024

The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space NIPS 2024

i-Rebalance: Personalized Vehicle Repositioning for Supply Demand Balance AAAI 2024

Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning AAAI 2024

Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing AAAI 2024

Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach NIPS 2024

RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control JMLR 2024

RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space NIPS 2024

SOCIALGYM 2.0: Simulator for Multi-Robot Learning and Navigation in Shared Human Spaces AAAI 2024

Balanced reward-inspired reinforcement learning for autonomous vehicle racing L4DC 2024

Test Where Decisions Matter: Importance-driven Testing for Deep Reinforcement Learning NIPS 2024

MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization AISTATS 2024

World Models for General Surgical Grasping RSS 2024

Evaluating Transformer-Enhanced Deep Reinforcement Learning for Speech Emotion Recognition INTERSPEECH 2024

Deep Reinforcement Learning for Early Diagnosis of Lung Cancer AAAI 2024

Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles AAAI 2024

Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks AAAI 2024

Can You Rely on Synthetic Labellers in Preference-Based Reinforcement Learning? It’s Complicated AAAI 2024

Discerning Temporal Difference Learning AAAI 2024

Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning AAAI 2024

Deep Reinforcement Learning for Communication Networks AAAI 2024

Deep Reinforcement Learning-based Dialogue Policy with Graph Convolutional Q-network COLING 2024

Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces AAAI 2024

No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning AAAI 2024

Ethics in Action: Training Reinforcement Learning Agents for Moral Decision-making In Text-based Adventure Games AISTATS 2024