Constrained Bayesian Reinforcement Learning via Approximate Linear Programming.

Jongmin Lee Youngsoo Jang Pascal Poupart Kee-Eung Kim

Published in: IJCAI (2017)

Keyphrases

linear programming
bayesian reinforcement learning
optimal policy
monte carlo tree search
linear program
mathematical programming
markov decision problems
reinforcement learning
optimal solution
np hard
monte carlo
objective function
constraint propagation
approximate solutions