85 search results - page 14 / 17 » Approximate Policy Iteration with a Policy Language Bias |
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We consider approximate policy evaluation for finite state and action Markov decision processes (MDP) in the off-policy learning context and with the simulation-based least square...
SC
1995
ACM
13 years 11 months ago
1995
ACM
Matrix-vector products (mat-vecs) form the core of iterative methods used for solving dense linear systems. Often, these systems arise in the solution of integral equations used i...
ICRA
2008
IEEE
14 years 1 months ago
2008
IEEE
Abstract— We propose a new approximate algorithm, LAJIV (Lookahead J-MDP Information Value), to solve Oracular Partially Observable Markov Decision Problems (OPOMDPs), a special ...
ECML
2004
Springer
14 years 22 days ago
2004
Springer
Reinforcement learning (RL) algorithms attempt to assign the credit for rewards to the actions that contributed to the reward. Thus far, credit assignment has been done in one of t...
ATAL
2006
Springer
13 years 11 months ago
2006
Springer
Decentralized partially observable Markov decision processes (DEC-POMDPs) form a general framework for planning for groups of cooperating agents that inhabit a stochastic and part...