Sub-optimal Policy Aided Multi-Agent Reinforcement Learning for Flocking Control

17 September 2022

Papers citing "Sub-optimal Policy Aided Multi-Agent Reinforcement Learning for Flocking Control"

6 / 6 papers shown

Title
A Minimalist Approach to Offline Reinforcement Learning Scott Fujimoto S. Gu OffRL 132 828 0 12 Jun 2021
Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments Vinicius G. Goecks Gregory M. Gremillion Vernon J. Lawhern J. Valasek Nicholas R. Waytowich OffRL 60 31 0 09 Oct 2019
Multi-Agent Generative Adversarial Imitation Learning Jiaming Song Hongyu Ren Dorsa Sadigh Stefano Ermon GAN 52 222 0 26 Jul 2018
Overcoming Exploration in Reinforcement Learning with Demonstrations Ashvin Nair Bob McGrew Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel OffRL 99 788 0 28 Sep 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 162 4,509 0 07 Jun 2017
Coordinated Multi-Agent Imitation Learning Hoang Minh Le Yisong Yue Peter Carr P. Lucey 69 192 0 09 Mar 2017