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conftrace_

deep reinforcement learning

1,008 papers

DEEP RL DRL

Papers

GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning CoRL 2018 GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning CVPR 2018 Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents CoRL 2018 Hardware Conditioned Policies for Multi-Robot Transfer Learning NeurIPS 2018 Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning IJCAI 2018 Impression Allocation for Combating Fraud in E-commerce Via Deep Reinforcement Learning with Action Norm Penalty IJCAI 2018 Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents NeurIPS 2018 Interpretable Rationale Augmented Charge Prediction System COLING 2018 Keeping in Touch with Collaborative UAVs: A Deep Reinforcement Learning Approach IJCAI 2018 Learning a Policy for Opportunistic Active Learning EMNLP 2018 Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations RSS 2018 Learning to Navigate in Cities Without a Map NeurIPS 2018 Learning Unmanned Aerial Vehicle Control for Autonomous Target Following IJCAI 2018 Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning NeurIPS 2018 Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning ICLR 2018 Maximum a Posteriori Policy Optimisation ICLR 2018 Mining Evidences for Concept Stock Recommendation NAACL 2018 Model-Based Reinforcement Learning via Meta-Policy Optimization CoRL 2018 Multi-modality Sensor Data Classification with Selective Attention IJCAI 2018 Multi-Reward Reinforced Summarization with Saliency and Entailment NAACL 2018 Neural Map: Structured Memory for Deep Reinforcement Learning ICLR 2018 Noisy Networks For Exploration ICLR 2018 Online Robust Policy Learning in the Presence of Unknown Adversaries NeurIPS 2018 Parameter Space Noise for Exploration ICLR 2018 Paraphrase Generation with Deep Reinforcement Learning EMNLP 2018