POMDPs... Markov decision process (MDP)= (S, A, P, R) states sS, actions aA,...  Home/Search
Context
Related
| marctoussaint.net...eminarPOMDP.ps.gz Cached: PS.gz PS PDF This document uses CoBlitz to cache paper downloads. If your firewall is blocking outgoing connections to port 3125, you can use these links to download local copies.
Image Update HelpPS.gz PS PDF From: marctoussaint.net/public...index (more) (Enter author homepages) |
Rate this article:      (best)Comment on this article |
Abstract: use # as belief state (Kaelbling, Littman, & Cassandra 1998; Kaelbling, Cassandra, & Kurien 1996) unknown, part.obs. use observations O reinforcement learning in POMDPs (doesn't really work :-) (Jaakkola, Singh, & Jordan 1995; Singh, Jaakkola, & Jordan 1994) history window of obs. O recurrent Q-learning, RNNs no representation find optimal policy graphs directly (Meuleau, Kim, Kaelbling, & Cassandra 1999) symbolic AI, rule extraction adaptive? later... optimal behavior: DP + MC + RL... (Update)
Active bibliography (related documents): More All
0.2: Hierarchical Reinforcement Learning Based on Subgoal.. - Bakker, Schmidhuber (2004) (Correct)
0.2: Evolutionary Computation versus Reinforcement Learning - Schmidhuber (2000) (Correct)
0.2: Synthesis of Recursive Programs from Finite Examples By.. - Wysotzki, Schmid (2001) (Correct)
Similar documents based on text:
0.0: Unknown - (Correct)
BibTeX entry: (Update)
@misc{ decision-part,
author = "Pomdps Markov Decision",
title = "Part 1: POMDPs",
url = "citeseer.ist.psu.edu/741786.html" }
Citations (may not include all citations):374 Reinforcement learning: A survey - Kaelbling, Littman et al. - 1996
187 Planning and acting in partially observable stochastic domai.. - Kaelbling, Littman et al. - 1998
136 Acting under uncertainty: Discrete bayesian models for mobil.. - Kaelbling, Cassandra et al. - 1996
81 Reinforcement learning algorithm for partially observable Ma.. - Jaakkola, Singh et al. - 1995
77 Between MDPs and semi-MDPs: A framework for temporal abstrac.. - Sutton, Precup et al. - 1999
77 Learning topological maps with weak local odometric informat.. - Shatkay, Kaelbling - 1997
56 Learning without state estimation in partially observable en.. - Singh, Jaakkola et al. - 1994
24 A self-organizing representation of sensor space for mobile .. - Krose, Eecen - 1994
15 Solving POMDPs by searching the space of finite policies - Meuleau, Kim et al. - 1999
12 Automatic discovery of subgoals in reinforcement learning us.. - McGovern, Barto - 2001
5 Self-segmentation of sequences: Automatic formation of hiera.. - Sun, Sessions - 2000
Documents on the same site (http://www.marc-toussaint.net/publications/index.html): More
Factorial Representations to Generate Arbitrary Search.. - Toussaint (Correct)
The Evolution Of Genetic Representations And Modular Adaptation - Toussaint (2003) (Correct)
Lectures on Reduce and Maple at UAM-I, Mexico - Toussaint (1999) (Correct)
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC