Adaptive Opponent Policy Detection in Multi-Agent MDPs: Real-Time Strategy Switch Identification Using Running Error Estimation

10 June 2024

Papers citing "Adaptive Opponent Policy Detection in Multi-Agent MDPs: Real-Time Strategy Switch Identification Using Running Error Estimation"

5 / 5 papers shown

Title
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning Dong-Ki Kim Miao Liu Matthew D Riemer Chuangchuang Sun Marwa Abdulhai Golnaz Habibi Sebastian Lopez-Cot Gerald Tesauro Jonathan P. How 28 55 0 31 Oct 2020
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kai Zhang Zhuoran Yang Tamer Basar 119 1,197 0 24 Nov 2019
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 208 18,685 0 20 Jul 2017
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 169 5,056 0 05 Jun 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 183 13,174 0 09 Sep 2015