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

Search for or Navigate to? Dual Adaptive Thinking for Object Navigation ICCV 2023

Small batch deep reinforcement learning NIPS 2023

Full Gradient Deep Reinforcement Learning for Average-Reward Criterion L4DC 2023

Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games NIPS 2023

Model-based Reinforcement Learning with Scalable Composite Policy Gradient Estimators ICML 2023

BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning NIPS 2023

Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization ICML 2023

An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games AAAI 2023

Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control NIPS 2023

The Dormant Neuron Phenomenon in Deep Reinforcement Learning ICML 2023

LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control ICML 2023

Resetting the Optimizer in Deep RL: An Empirical Study NIPS 2023

Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games ACML 2023

Boosting Verification of Deep Reinforcement Learning via Piece-Wise Linear Decision Neural Networks NIPS 2023

Causal Deep Reinforcement Learning Using Observational Data IJCAI 2023

AdapSafe: Adaptive and Safe-Certified Deep Reinforcement Learning-Based Frequency Control for Carbon-Neutral Power Systems AAAI 2023

Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition ICML 2023

Hyperparameters in Reinforcement Learning and How To Tune Them ICML 2023

Controlling Neural Style Transfer with Deep Reinforcement Learning IJCAI 2023

Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions ICML 2023

Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning ICML 2023

Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback ICML 2023

Abstract then Play: A Skill-centric Reinforcement Learning Framework for Text-based Games ACL 2023

Convergence of Actor-Critic with Multi-Layer Neural Networks NIPS 2023

Uniformly Conservative Exploration in Reinforcement Learning AISTATS 2023