Fiber: A Platform for Efficient Development and Distributed Training for
Reinforcement Learning and Population-Based Methods

Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods

25 March 2020

Jeff Clune

Kenneth O. Stanley

Papers citing "Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods"

5 / 5 papers shown

Title
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey Zhihong Liu Xin Xu Peng Qiao Dongsheng Li OffRL 20 2 0 08 Nov 2024
Transparent Serverless execution of Python multiprocessing applications Aitor Arjona Gerard Finol Pedro García-López 22 11 0 18 May 2022
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 44 225 0 01 Jun 2020
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions Rui Wang Joel Lehman Aditya Rawal Jiale Zhi Yulun Li Jeff Clune Kenneth O. Stanley 14 123 0 19 Mar 2020
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 131 928 0 07 Jul 2017