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Reinforcement Learning

1263 directly classified papers

Papers per year

Papers

Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift AAAI 2019
Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning AAAI 2019
Learning to Walk Via Deep Reinforcement Learning RSS 2019
Reinforcement Learning for Improved Low Resource Dialogue Generation AAAI 2019
Machine Learning Based Heuristic Search Algorithms to Solve Birds of a Feather Card Game AAAI 2019
Querying NoSQL with Deep Learning to Answer Natural Language Questions AAAI 2019
Using Semantic Similarity as Reward for Reinforcement Learning in Sentence Generation ACL 2019
Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks CVPR 2019
Learning to Compose Dynamic Tree Structures for Visual Contexts CVPR 2019
CRAVES: Controlling Robotic Arm With a Vision-Based Economic System CVPR 2019
Context-Reinforced Semantic Segmentation CVPR 2019
PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning CORL 2019
HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators CORL 2019
Learning to Navigate Using Mid-Level Visual Priors CORL 2019
Deep Value Model Predictive Control CORL 2019
Experience-Embedded Visual Foresight CORL 2019
Dynamic Experience Replay CORL 2019
Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems CORL 2019
A Divergence Minimization Perspective on Imitation Learning Methods CORL 2019
What and Where the Themes Dominate in Image AAAI 2019
Learning Intelligent Dialogs for Bounding Box Annotation CVPR 2018
Learning Hierarchical Structures On-The-Fly with a Recurrent-Recursive Model for Sequences ACL 2018
Deep Reinforcement Learning for NLP ACL 2018
Reinforced Extractive Summarization with Question-Focused Rewards ACL 2018
Object-oriented Neural Programming (OONP) for Document Understanding ACL 2018