A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs.

Noah Patton Jihwan Jeong Mike Gimelfarb Scott Sanner

Published in: AAAI (2022)

Keyphrases

end to end
risk sensitive
markov decision processes
markov decision problems
partially observable
reinforcement learning
optimal policy
domain independent
utility function
finite state