Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control With Action Constraints

Author:

Kasaura Kazumi1ORCID,Miura Shuwa2ORCID,Kozuno Tadashi1ORCID,Yonetani Ryo1ORCID,Hoshino Kenta3ORCID,Hosoe Yohei4ORCID

Affiliation:

1. OMRON SINIC X Corporation, Tokyo, Japan

2. Manning College of Information and Computer Sciences University of Massachusetts Amherst, Amherst, MA, USA

3. Graduate School of Informatics, Kyoto University, Kyoto, Japan

4. Graduate School of Engineering, Kyoto University, Kyoto, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Reference30 articles.

1. MuJoCo: A physics engine for model-based control

2. Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning

3. Openai Gym;brockman,2016

4. PyBullet gymperium;ellenberger,2019

5. The gurobi optimizer;bixby;Transp Re-search Part B,2007

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