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Questions related from Gavin Rens
Recently, some work has been done planning and learning in Non-Markovian Decision Processes, that is, decision-making with temporally extended rewards. In these settings, a particular reward is...
07 April 2019 5,021 2 View
When the reward function is defined as R(a,s), the value function is defined as max_{a in A} (rho(a,b) + ...), where A is the set of actions, b is the current belief state and rho(a,b) is the...
06 May 2016 9,693 3 View
I'm working with discrete distributions, and i have only one constraint (over the atomic events) on the posterior distribution. In particular, i have a prior distribution P over four atomic events...
26 January 2016 6,878 2 View
Do you think it is a good or bad idea to use a partially observable Markov decision process (POMDP) planner instead of a plan library in the belief-desire-intention (BDI) architecture? The...
19 March 2014 8,815 1 View
