Scalable reinforcement learning on Cray XC.
Ananda V. KommarajuKristyn J. MaschhoffMichael F. RingenburgBenjamin RobbinsPublished in: Concurr. Comput. Pract. Exp. (2020)
Keyphrases
- reinforcement learning
- function approximation
- state space
- model free
- temporal difference
- markov decision processes
- robotic control
- memory efficient
- scheduling problem
- dynamic programming
- multi agent
- learning algorithm
- data sets
- optimal policy
- optimal control
- highly scalable
- function approximators
- multi agent reinforcement learning
- database