Derivative-Free Reinforcement Learning: A Review

10 February 2021

Papers citing "Derivative-Free Reinforcement Learning: A Review"

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Title
LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch Caigao Jiang Xiang Shu Hong Qian Xingyu Lu Jun-ping Zhou Aimin Zhou Yang Yu 39 1 0 17 Oct 2024
Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning Chengqian Gao William de Vazelhes Hualin Zhang Bin Gu Zhiqiang Xu 54 0 0 02 May 2024
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games Hui Bai R. Shen Yue Lin Bo Xu Ran Cheng VLM 34 5 0 21 Sep 2022
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey Amjad Yousef Majid Serge Saaybi Tomas van Rietbergen Vincent François-Lavet R. V. Prasad Chris Verhoeven OffRL 60 54 0 28 Sep 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 365 11,700 0 09 Mar 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016