'Reinforcement learning problem' presentation slideshows

Hybrid Agent-Based Modeling: Architectures,Analyses and Applications (Stage One)

Hybrid Agent-Based Modeling: Architectures,Analyses and Applications (Stage One). Li, Hailin. Outline. I ntroduction Least-Squares Method for Reinforcement Learning Evolutionary Algorithms For RL Problem (in progress)

408 views • 26 slides

Dynamic Single Machine Scheduling Using Q-Learning

Dynamic Single Machine Scheduling Using Q-Learning. Outline. Description of Problem(Dynamic Single Machine Sheduling Problem) The work of Q-learning Action&State Simulated annealing-based Q-learing. Description of Problem. A finite set of n jobs

267 views • 26 slides

Chapter 1: Introduction

Chapter 1: Introduction. Artificial Intelligence. Control Theory and Operations Research. Psychology. Reinforcement Learning (RL). Neuroscience. Artificial Neural Networks. What is Reinforcement Learning?. Learning from interaction Goal-oriented learning

346 views • 20 slides

Machine Learning Chapter 13. Reinforcement Learning

Machine Learning Chapter 13. Reinforcement Learning. Tom M. Mitchell. Control Learning. Consider learning to choose actions, e.g., Robot learning to dock on battery charger Learning to choose actions to optimize factory output Learning to play Backgammon

250 views • 19 slides

Reinforcement Learning RS Sutton and AG Barto

Reinforcement Learning RS Sutton and AG Barto. Summarized by Joon Shik Kim 12.03.29.(Thu) Computational Models of Intelligence. Introduction. The idea that we learn by interacting with our environment is probably the first to occur to us when we think about the nature of learning.

152 views • 13 slides

131 views • 12 slides