<--- Back to Details
First PageDocument Content
Mathematical sciences / Markov models / Dynamic programming / Stochastic control / Operations research / Reinforcement learning / Q-learning / Markov decision process / Multi-agent system / Statistics / Markov processes / Control theory
Date: 2013-01-15 17:48:25
Mathematical sciences
Markov models
Dynamic programming
Stochastic control
Operations research
Reinforcement learning
Q-learning
Markov decision process
Multi-agent system
Statistics
Markov processes
Control theory

Solving Multi-agent Markov Decision Processes: A Forest Management Example

Add to Reading List

Source URL: www.mssanz.org.au

Download Document from Source Website

File Size: 302,87 KB

Share Document on Facebook

Similar Documents

Concurrent computing / Parallel computing / Computing / IT infrastructure / Cloud infrastructure / Job scheduling / Apache Hadoop / Apache Software Foundation / Data-intensive computing / Workflow / Algorithmic skeleton / Programming paradigm

Towards a high level programming paradigm to deploy e-science applications with dynamic workflows on large scale distributed systems Mohamed Ben Belgacem Nabil Abdennadher

DocID: 1xTOs - View Document

Minimax Differential Dynamic Programming: An Application to Robust Biped Walking Jun Morimoto Human Information Science Labs, Department 3, ATR International

DocID: 1vqMk - View Document

Empirical Dynamic Programming William B. Haskell ISE Department, National University of Singapore Rahul Jain*

DocID: 1vouJ - View Document

MarchRevised MayReport LIDS-P-3506 Stable Optimal Control and Semicontractive Dynamic Programming

DocID: 1vhRF - View Document

EE365: Deterministic Finite State Control Deterministic optimal control Shortest path problem Dynamic programming Examples

DocID: 1vg0M - View Document