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Reinforcement Learning

2932 directly classified papers

Papers per year

Papers

Learning to Compose Dynamic Tree Structures for Visual Contexts CVPR 2019
Embodied Question Answering in Photorealistic Environments With Point Cloud Perception CVPR 2019
Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation CVPR 2019
HAQ: Hardware-Aware Automated Quantization With Mixed Precision CVPR 2019
IRLAS: Inverse Reinforcement Learning for Architecture Search CVPR 2019
Off-Policy Policy Gradient with Stationary Distribution Correction UAI 2019
Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow UAI 2019
P3O: Policy-on Policy-off Policy Optimization UAI 2019
Social Reinforcement Learning to Combat Fake News Spread UAI 2019
Approximate Relative Value Learning for Average-reward Continuous State MDPs UAI 2019
Evacuate or Not? A POMDP Model of the Decision Making of Individuals in Hurricane Evacuation Zones UAI 2019
A Tighter Analysis of Randomised Policy Iteration UAI 2019
Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning UAI 2019
Truly Proximal Policy Optimization UAI 2019
Correlated Learning for Aggregation Systems UAI 2019
Reading Like HER: Human Reading Inspired Extractive Summarization IJCNLP 2019
Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation IJCNLP 2019
Learning Dynamic Context Augmentation for Global Entity Linking IJCNLP 2019
SoftRegex: Generating Regex from Natural Language Descriptions using Softened Regex Equivalence IJCNLP 2019
Fake It Till You Make It: Learning-Compatible Performance Support UAI 2019
A Bayesian Approach to Robust Reinforcement Learning UAI 2019
Randomized Value Functions via Multiplicative Normalizing Flows UAI 2019
Learning Factored Markov Decision Processes with Unawareness UAI 2019
Variational Regret Bounds for Reinforcement Learning UAI 2019
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments CORL 2019