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Reinforcement Learning

7,982 papers (84 classified directly here)

Subtopics

Methods (6,493) Applications (2,922)

Papers per year

9
43
48
875
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Papers (including subtopics)

Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing AAAI 2019
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift AAAI 2019
Hybrid Reinforcement Learning with Expert State Sequences AAAI 2019
Multi-Task Deep Reinforcement Learning with PopArt AAAI 2019
Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning AAAI 2019
Model-Free IRL Using Maximum Likelihood Estimation AAAI 2019
Classification with Costly Features Using Deep Reinforcement Learning AAAI 2019
Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient AAAI 2019
Trust Region Evolution Strategies AAAI 2019
The Utility of Sparse Representations for Control in Reinforcement Learning AAAI 2019
A Comparative Analysis of Expected and Distributional Reinforcement Learning AAAI 2019
State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning AAAI 2019
Towards Better Interpretability in Deep Q-Networks AAAI 2019
Determinantal Reinforcement Learning AAAI 2019
Policy Optimization with Model-Based Explorations AAAI 2019
On Reinforcement Learning for Full-Length Game of StarCraft AAAI 2019
Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning AAAI 2019
Safe Policy Improvement with Baseline Bootstrapping in Factored Environments AAAI 2019
Composable Modular Reinforcement Learning AAAI 2019
Diversity-Driven Extensible Hierarchical Reinforcement Learning AAAI 2019
Natural Option Critic AAAI 2019
Learning to Communicate and Solve Visual Blocks-World Tasks AAAI 2019
ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search AAAI 2019
QUOTA: The Quantile Option Architecture for Reinforcement Learning AAAI 2019
Self-Supervised Mixture-of-Experts by Uncertainty Estimation AAAI 2019