1. Context Aware Resource Management in Multi-Inhabitant Smart Homes: A NashH -learning based Approach Nirmalya Roy, Abhishek Roy & Sajal K Das Presented by:Viraj BhatvirajbATcaip…
Slide 1 Slide 2 Reinforcement Learning in the Control of Attention Roderic A Grupen Laboratory for Analysis and Architecture of Systems (State University of Campinas-near…
1.Cooperation through ReinforcementLearning By Philip Sterne Computer Science Honours 2002 Rhodes UniversitySubmitted in partial fulfilment of the requirements for the degree…
Slide 1 E XPLORING M ARKOV D ECISION P ROCESS V IOLATIONS IN R EINFORCEMENT L EARNING Jordan Fryer – University of Portland Working with Peter Heeman 1 Slide 2 O UTLINE…
Slide 1 Nash Q-Learning for General-Sum Stochastic Games Hu & Wellman March 6 th, 2006 CS286r Presented by Ilan Lobel Slide 2 Outline Stochastic Games and Markov Perfect…
Reinforcement Learning An Introduction From Sutton & Barto Chapter 7: Eligibility Traces N-step TD Prediction Idea: Look farther into the future when you do TD backup…
Chapter 9: Planning and Learning Use of environment models Integration of planning and learning methods Objectives of this chapter: Models Model: anything the agent can use…
Chapter 7: Eligibility Traces N-step TD Prediction Idea: Look farther into the future when you do TD backup (1, 2, 3, â¦, n steps) Mathematics of N-step TD Prediction Monte…