A Multifidelity Sim-to-Real Pipeline for Verifiable and Compositional Reinforcement Learning
Author:
Affiliation:
1. The University of Texas at Austin
2. The University of Massachusetts Dartmouth
3. U.S. Army Research Lab
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610735.pdf?arnumber=10610735
Reference31 articles.
1. Human-level control through deep reinforcement learning
2. Grandmaster level in StarCraft II using multi-agent reinforcement learning
3. Mastering Atari, Go, chess and shogi by planning with a learned model
4. Outracing champion Gran Turismo drivers with deep reinforcement learning
5. Magnetic control of tokamak plasmas through deep reinforcement learning
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