<--- Back to Details
First PageDocument Content
Bayesian statistics / Graphical models / Statistical models / Markov models / Markov chain / Reinforcement learning / Bayesian network / Markov decision process / Maximum likelihood / Statistics / Probability and statistics / Statistical theory
Date: 2009-07-28 15:01:21
Bayesian statistics
Graphical models
Statistical models
Markov models
Markov chain
Reinforcement learning
Bayesian network
Markov decision process
Maximum likelihood
Statistics
Probability and statistics
Statistical theory

Human Behavior Modeling with Maximum Entropy Inverse Optimal Control Brian D. Ziebart, Andrew Maas, J.Andrew Bagnell, and Anind K. Dey School of Computer Science Carnegie Mellon University Pittsburgh, PA[removed]bziebart@c

Add to Reading List

Source URL: www.cs.cmu.edu

Download Document from Source Website

File Size: 661,48 KB

Share Document on Facebook

Similar Documents

Cooperative Multi-Agent Control Using Deep Reinforcement Learning Jayesh K. Gupta Maxim Egorov

Cooperative Multi-Agent Control Using Deep Reinforcement Learning Jayesh K. Gupta Maxim Egorov

DocID: 1xVVh - View Document

Distributed Computing Prof. R. Wattenhofer SA/MA:  Byzantine Reinforcement Learning

Distributed Computing Prof. R. Wattenhofer SA/MA: Byzantine Reinforcement Learning

DocID: 1xVKs - View Document

Distributed Computing Prof. R. Wattenhofer Generating CAPTCHAs with Deep (Reinforcement) Learning

Distributed Computing Prof. R. Wattenhofer Generating CAPTCHAs with Deep (Reinforcement) Learning

DocID: 1xV3l - View Document

Multi-step Bootstrapping Jennifer She Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto February 7, 2017

Multi-step Bootstrapping Jennifer She Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto February 7, 2017

DocID: 1xUBi - View Document

Cellular	Network	Traffic	Scheduling	 using	Deep	Reinforcement	Learning Sandeep	Chinchali,	et.	al.	Marco	Pavone,	Sachin	Katti Stanford	University	 AAAI	2018

Cellular Network Traffic Scheduling using Deep Reinforcement Learning Sandeep Chinchali, et. al. Marco Pavone, Sachin Katti Stanford University AAAI 2018

DocID: 1xUAT - View Document