Strategically Efficient Exploration in Competitive Multi-agent Reinforcement Learning

30 July 2021

Papers citing "Strategically Efficient Exploration in Competitive Multi-agent Reinforcement Learning"

3 / 3 papers shown

Title
TinyMA-IEI-PPO: Exploration Incentive-Driven Multi-Agent DRL with Self-Adaptive Pruning for Vehicular Embodied AI Agent Twins Migration Zhuoqi Zeng Yuxiang Wei Jiawen Kang 31 0 0 30 Apr 2025
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation Pier Giuseppe Sessa Maryam Kamgarpour Andreas Krause 21 16 0 14 Mar 2022
Competition over data: how does data purchase affect users? Yongchan Kwon Antonio A. Ginart James Y. Zou 13 5 0 26 Jan 2022