1.6k citations · 8k across the 93 of their papers we have counts for
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cs.AI2014★ 22 cited
Non-Deterministic Policies in Markovian Decision Processes
Mahdi Milani Fard, Joelle Pineau
Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making problem…
cs.AI2014★ 516 cited
Online Planning Algorithms for POMDPs
Stéphane Ross, Joelle Pineau, Sébastien Paquet +1
Partially Observable Markov Decision Processes (POMDPs) provide a rich framework for sequential decision-making under uncertainty in stochastic domains. However, solving a POMDP is…