Strategically Robust Multi-Agent Reinforcement Learning with Linear Function Approximation

Strategically Robust Multi-Agent Reinforcement Learning with Linear Function Approximation explores A robust multi-agent reinforcement learning algorithm that enhances equilibrium learning through Risk-Sensitive Quantal Response Equilibrium.. Commercial viability score: 4/10 in Agents.