Value-Distributional Model-Based Reinforcement Learning.

Carlos E. Luis Alessandro G. Bottero Julia Vinogradska Felix Berkenkamp Jan Peters

Published in: CoRR (2023)

Keyphrases

model based reinforcement learning
markov decision processes
co occurrence
reinforcement learning
bayesian networks
relational databases
active learning
finite state
markov decision problems
probabilistic model
information extraction
linear programming
policy iteration
relational domains