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Reinforcement Learning

2932 directly classified papers

Papers per year

Papers

Divergence-Augmented Policy Optimization NIPS 2019
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections NIPS 2019
Unsupervised Learning of Object Keypoints for Perception and Control NIPS 2019
A neurally plausible model learns successor representations in partially observable environments NIPS 2019
Finite-Time Performance Bounds and Adaptive Learning Rate Selection for Two Time-Scale Reinforcement Learning NIPS 2019
A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation NIPS 2019
Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples NIPS 2019
Weight Agnostic Neural Networks NIPS 2019
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning NIPS 2019
Fully Parameterized Quantile Function for Distributional Reinforcement Learning NIPS 2019
Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards NIPS 2019
Park: An Open Platform for Learning-Augmented Computer Systems NIPS 2019
Improving Optimization Bounds Using Machine Learning: Decision Diagrams Meet Deep Reinforcement Learning AAAI 2019
State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning AAAI 2019
A Comparative Analysis of Expected and Distributional Reinforcement Learning AAAI 2019
The Utility of Sparse Representations for Control in Reinforcement Learning AAAI 2019
Trust Region Evolution Strategies AAAI 2019
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks AAAI 2019
Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient AAAI 2019
Deep Reinforcement Learning for Subpixel Neural Tracking MIDL 2019
State Abstraction as Compression in Apprenticeship Learning AAAI 2019
Playing by the Book: An Interactive Game Approach for Action Graph Extraction from Text NAACL 2019
The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation CVPR 2019
Improving Search with Supervised Learning in Trick-Based Card Games AAAI 2019
Incorporating Behavioral Constraints in Online AI Systems AAAI 2019