Sciweavers

Share
52 search results - page 1 / 11
» Improving Approximate Value Iteration Using Memories and Pre...
Sort
View
AAAI
2006
9 years 11 months ago
Improving Approximate Value Iteration Using Memories and Predictive State Representations
Planning in partially-observable dynamical systems is a challenging problem, and recent developments in point-based techniques such as Perseus significantly improve performance as...
Michael R. James, Ton Wessling, Nikos A. Vlassis
IWMM
2010
Springer
118views Hardware» more  IWMM 2010»
10 years 2 months ago
Speculative parallelization using state separation and multiple value prediction
With the availability of chip multiprocessor (CMP) and simultaneous multithreading (SMT) machines, extracting thread level parallelism from a sequential program has become crucial...
Chen Tian, Min Feng, Rajiv Gupta
SARA
2005
Springer
10 years 3 months ago
Feature-Discovering Approximate Value Iteration Methods
Sets of features in Markov decision processes can play a critical role ximately representing value and in abstracting the state space. Selection of features is crucial to the succe...
Jia-Hong Wu, Robert Givan
AAAI
2015
4 years 6 months ago
Representation Discovery for MDPs Using Bisimulation Metrics
We provide a novel, flexible, iterative refinement algorithm to automatically construct an approximate statespace representation for Markov Decision Processes (MDPs). Our approa...
Sherry Shanshan Ruan, Gheorghe Comanici, Prakash P...
IJCAI
2003
9 years 11 months ago
Approximate Policy Iteration using Large-Margin Classifiers
We present an approximate policy iteration algorithm that uses rollouts to estimate the value of each action under a given policy in a subset of states and a classifier to general...
Michail G. Lagoudakis, Ronald Parr
books