Population-Guided Parallel Policy Search for Reinforcement Learning

9 January 2020

Papers citing "Population-Guided Parallel Policy Search for Reinforcement Learning"

9 / 9 papers shown

Title
Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Vincenzo De Paola Riccardo Zamboni Mirco Mutti Marcello Restelli 19 0 0 02 May 2025
Improving Human-AI Coordination through Adversarial Training and Generative Models Paresh Chaudhary Yancheng Liang Daphne Chen S. Du Natasha Jaques 64 0 0 21 Apr 2025
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning Hui Bai Ran Cheng 53 4 0 12 Apr 2024
LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework Woojun Kim Jeonghye Kim Young-Jin Sung 20 5 0 05 Oct 2023
Evolutionary Strategy Guided Reinforcement Learning via MultiBuffer Communication Adam Callaghan Karl Mason Patrick Mannion 29 2 0 20 Jun 2023
Evolving Populations of Diverse RL Agents with MAP-Elites Thomas Pierrot Arthur Flajolet 30 8 0 09 Mar 2023
Online Weighted Q-Ensembles for Reduced Hyperparameter Tuning in Reinforcement Learning R. G. Oliveira W. Caarls OffRL 16 0 0 29 Sep 2022
Fast Population-Based Reinforcement Learning on a Single Machine Arthur Flajolet Claire Bizon Monroc Karim Beguir Thomas Pierrot OffRL 24 10 0 17 Jun 2022
Cooperative Heterogeneous Deep Reinforcement Learning Han Zheng Pengfei Wei Jing Jiang Guodong Long Qinghua Lu Chengqi Zhang 49 12 0 02 Nov 2020