Mean-variance Based Risk-sensitive Reinforcement Learning with Interpretable Attention

Author:

Kim Woo Kyung1,Lee Youngseok2,Woo Honguk1

Affiliation:

1. Department of Computer Science and Engineering, Sungkyunkwan University, South Korea

2. Department of Electrical and Computer Engineering, Sungkyunkwan University, South Korea

Publisher

ACM

Reference17 articles.

1. Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning

2. Risk-Conditioned Distributional Soft Actor-Critic for Risk-Sensitive Navigation

3. Will Dabney , Georg Ostrovski , David Silver , and Remi Munos . 2018 . Implicit Quantile Networks for Distributional Reinforcement Learning . In Proc. of the 35th International Conference on Machine Learning (ICML) . Stockholm, Sweden, 1096–1105. Will Dabney, Georg Ostrovski, David Silver, and Remi Munos. 2018. Implicit Quantile Networks for Distributional Reinforcement Learning. In Proc. of the 35th International Conference on Machine Learning (ICML). Stockholm, Sweden, 1096–1105.

4. Samuel Greydanus , Anurag Koul , Jonathan Dodge , and Alan Fern . 2018 . Visualizing and Understanding Atari Agents . In Proc. of the 35th International Conference on Machine Learning (ICML) . Stockholm, Sweden, 1792– 1801. Samuel Greydanus, Anurag Koul, Jonathan Dodge, and Alan Fern. 2018. Visualizing and Understanding Atari Agents. In Proc. of the 35th International Conference on Machine Learning (ICML). Stockholm, Sweden, 1792–1801.

5. Tuomas Haarnoja , Aurick Zhou , Pieter Abbeel , and Sergey Levine . 2018 . Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor . In Proc. of the 35th International Conference on Machine Learning (ICML) . Stockholm, Sweden , 1861–1870. Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel, and Sergey Levine. 2018. Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor. In Proc. of the 35th International Conference on Machine Learning (ICML). Stockholm, Sweden, 1861–1870.

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