Yuri Lawryshyn

Energy-based Surprise Minimization for Multi-Agent Value Factorization

2020 · arXiv (Cornell University)

Multi-Agent Reinforcement Learning (MARL) has demonstrated significant success in training decentralised policies in a centralised manner by making use of value factorization methods. However, addressing surprise across spurious states and approximation bias remain open problems …