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

Attention-Aware Face Hallucination via Deep Reinforcement Learning CVPR 2017

Deep Variation-Structured Reinforcement Learning for Visual Relationship and Attribute Detection CVPR 2017

Action-Decision Networks for Visual Tracking With Deep Reinforcement Learning CVPR 2017

Deep 360 Pilot: Learning a Deep Agent for Piloting Through 360deg Sports Videos CVPR 2017

Emergent Behaviors in Mixed-Autonomy Traffic CORL 2017

Sim-to-Real Robot Learning from Pixels with Progressive Nets CORL 2017

Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation CORL 2017

The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously CORL 2017

Distral: Robust multitask reinforcement learning NIPS 2017

Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes NIPS 2017

Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning CORL 2017

Evaluating Persuasion Strategies and Deep Reinforcement Learning methods for Negotiation Dialogue agents EACL 2017

Learning to Diagnose: Assimilating Clinical Narratives using Deep Reinforcement Learning IJCNLP 2017

Value Prediction Network NIPS 2017

Control of Memory, Active Perception, and Action in Minecraft ICML 2016

Interactive Spoken Content Retrieval by Deep Reinforcement Learning INTERSPEECH 2016

Continuous Deep Q-Learning with Model-based Acceleration ICML 2016

Linear Feature Encoding for Reinforcement Learning NIPS 2016

Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation NIPS 2016

Asynchronous Methods for Deep Reinforcement Learning ICML 2016

Learning values across many orders of magnitude NIPS 2016

Opponent Modeling in Deep Reinforcement Learning ICML 2016

Benchmarking Deep Reinforcement Learning for Continuous Control ICML 2016

Active Object Localization With Deep Reinforcement Learning ICCV 2015

Learning Continuous Control Policies by Stochastic Value Gradients NIPS 2015