HMRL-Reference-Cited by-同舟云学术

HMRL

Published:2021-08-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
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Author:

Hua Yun¹,Wang Xiangfeng²,Jin Bo²,Li Wenhao¹,Yan Junchi³,He Xiaofeng²,Zha Hongyuan⁴

Affiliation:

1. East China Normal University, Shanghai, China

2. East China Normal University & Shanghai Research Institute for Intelligent Autonomous Systems, Shanghai, China

3. Shanghai Jiao Tong University, Shanghai, China

4. The Chinese University of Hong Kong, Shenzhen, China

Funder

National Science Foundations of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3447548.3467242

Reference37 articles.

1. Maxime Chevalier-Boisvert. 2018. gym-miniworld environment for OpenAI Gym. https://github.com/maximecb/gym-miniworld. Maxime Chevalier-Boisvert. 2018. gym-miniworld environment for OpenAI Gym. https://github.com/maximecb/gym-miniworld.

2. Sam Michael Devlin and Daniel Kudenko. 2012. Dynamic potential-based reward shaping. In AAMAS. 433--440. Sam Michael Devlin and Daniel Kudenko. 2012. Dynamic potential-based reward shaping. In AAMAS. 433--440.

3. Yan Duan Xi Chen Rein Houthooft John Schulman and Pieter Abbeel. 2016. Benchmarking deep reinforcement learning for continuous control. In ICML. 1329--1338. Yan Duan Xi Chen Rein Houthooft John Schulman and Pieter Abbeel. 2016. Benchmarking deep reinforcement learning for continuous control. In ICML. 1329--1338.

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