Lamarckian Platform: Pushing the Boundaries of Evolutionary
Reinforcement Learning towards Asynchronous Commercial Games

Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games

21 September 2022

Ran Cheng

Papers citing "Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games"

5 / 5 papers shown

Title
EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning Bowen Zheng Ran Cheng Kay Chen Tan 27 0 0 25 Jan 2025
Evolutionary Strategy Guided Reinforcement Learning via MultiBuffer Communication Adam Callaghan Karl Mason Patrick Mannion 16 2 0 20 Jun 2023
Evolutionary Reinforcement Learning: A Survey Hui Bai Ran Cheng Yaochu Jin OffRL 43 52 0 07 Mar 2023
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning Cong Zhang Wen Song Zhiguang Cao Jie M. Zhang Puay Siew Tan Chi Xu 55 297 0 23 Oct 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 137 1,599 0 02 Feb 2020