2020
OPtions as REsponses: Grounding behavioural hierarchies in multi-agent reinforcement learning
ICML 2020poster
This paper investigates generalisation in multi-agent games, where the generality of the agent can be evaluated by playing against opponents it hasn’t seen during training. We propose two new games with concealed information and complex, non-transitive reward structure (think rock-paper-scissors). I…