Transfer Learning For Complex Tasks

By Matthew E. Taylor, Kurt Driessens, Alan Fern, Metthew E. Taylor

Applying Reinforcement Learning On Real-World Data With Practical Examples In Python

By Philip Osborne, Matthew E. Taylor, Kajal Singh, Philip Osborne; Kajal Singh; Matthew E. Taylor

Reinforcement learning is a powerful tool in artificial intelligence in which virtual or physical agents learn to optimize their decision making to achieve long-term goals. In some cases, this mach...

Distributed Artificial Intelligence

By Edith Elkind, Yang Gao, Matthew E. Taylor, Yang Yu, Matthew E. Taylor, Yang Yu, Edith Elkind, Yang Gao

This book constitutes the refereed proceedings of the Second International Conference on Distributed Artificial Intelligence, DAI 2020, held in Nanjing, China, in October 2020. The 9 full papers pr...

Federated And Transfer Learning

By Roozbeh Razavi-Far, Matthew E. Taylor, Boyu Wang, Qiang Yang

Federated And Transfer Learning

By Roozbeh Razavi-Far, Matthew E. Taylor, Boyu Wang, Qiang Yang

Applying Reinforcement Learning On Real-World Data With Practical Examples In Python

By Philip Osborne, Matthew E. Taylor, Kajal Singh, Philip Osborne; Kajal Singh; Matthew E. Taylor, PHILIP SINGH, KAJAL TAYLOR, MATTHEW E. OSBORNE

Reinforcement learning is a powerful tool in artificial intelligence in which virtual or physical agents learn to optimize their decision making to achieve long-term goals. In some cases, this mach...

Applying Reinforcement Learning On Real-World Data With Practical Examples In Python

By Philip Osborne, Matthew E. Taylor, Kajal Singh, Philip Osborne; Kajal Singh; Matthew E. Taylor, PHILIP SINGH, KAJAL TAYLOR, MATTHEW E. OSBORNE

Reinforcement learning is a powerful tool in artificial intelligence in which virtual or physical agents learn to optimize their decision making to achieve long-term goals. In some cases, this mach...

Transfer In Reinforcement Learning Domains

By Matthew Taylor, Matthew E. Taylor

Transfer In Reinforcement Learning Domains

By Matthew E. Taylor, Matthew Taylor

In Reinforcement Learning (rl) Problems, Learning Agents Sequentially Execute Actions With The Goal Of Maximizing A Reward Signal. The Rl Framework Has Gained Popularity With The Development Of Alg...

Transfer In Reinforcement Learning Domains

By Matthew E. Taylor