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Deep RL

3861 directly classified papers

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Papers

Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes NIPS 2017
Multi-View Decision Processes: The Helper-AI Problem NIPS 2017
Decoding with Value Networks for Neural Machine Translation NIPS 2017
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation NIPS 2017
Shallow Updates for Deep Reinforcement Learning NIPS 2017
Value-Aware Loss Function for Model-based Reinforcement Learning AISTATS 2017
Deep Reinforcement Learning-Based Image Captioning With Embedding Reward CVPR 2017
Attention-Aware Face Hallucination via Deep Reinforcement Learning CVPR 2017
Deep Variation-Structured Reinforcement Learning for Visual Relationship and Attribute Detection CVPR 2017
Budget-Aware Deep Semantic Video Segmentation 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
Learning to Learn From Noisy Web Videos CVPR 2017
DSAC - Differentiable RANSAC for Camera Localization CVPR 2017
PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning CVPR 2017
A Reinforcement Learning Approach to the View Planning Problem CVPR 2017
CAD2RL: Real Single-Image Flight Without a Single Real Image RSS 2017
Automatic Text Summarization Using Reinforcement Learning with Embedding Features IJCNLP 2017
Tackling Error Propagation through Reinforcement Learning: A Case of Greedy Dependency Parsing EACL 2017
Preparing for the Unknown: Learning a Universal Policy with Online System Identification RSS 2017
Extending Model-based Policy Gradients for Robots in Heteroscedastic Environments CORL 2017
Neural Episodic Control ICML 2017
Curriculum Learning in Reinforcement Learning IJCAI 2017
Pytheas: Enabling Data-Driven Quality of Experience Optimization Using Group-Based Exploration-Exploitation NSDI 2017
Learning what to read: Focused machine reading EMNLP 2017