'Eligibility traces' diaporamas de présentation

An Introduction to Reinforcement Learning (Part 1)

An Introduction to Reinforcement Learning (Part 1). Jeremy Wyatt Intelligent Robotics Lab School of Computer Science University of Birmingham jlw@cs.bham.ac.uk www.cs.bham.ac.uk/~jlw www.cs.bham.ac.uk/research/robotics. What is Reinforcement Learning (RL) ?. +3. +50. -1. -1. r 1.

475 views • 33 slides

Model-Free vs. Model-Based RL: Q, SARSA, & E 3

Model-Free vs. Model-Based RL: Q, SARSA, & E 3. Administrivia. Reminder: Office hours tomorrow truncated 9:00-10:15 AM Can schedule other times if necessary Final projects Final presentations Dec 2, 7, 9 20 min (max) presentations 3 or 4 per day Sign up for presentation slots today!.

445 views • 26 slides

Decision Making Under Uncertainty Lec #8: Reinforcement Learning

Decision Making Under Uncertainty Lec #8: Reinforcement Learning. UIUC CS 598: Section EA Professor: Eyal Amir Spring Semester 2006. Most slides by Jeremy Wyatt (U Birmingham). So Far. MDPs Known transition model Known rewards. +3. +50. -1. -1. r 1. r 9. r 4. r 5.

307 views • 20 slides

303 views • 19 slides

276 views • 13 slides