Learning Against Non-Stationary Agents with Opponent Modelling and Deep Reinforcement Learning

By Richard Everett, Stephen J. Roberts. 2018

31 citations recorded by the source corpus.

How researchers see this paper

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1. Klaus-Jürgen Diepold
2. Sven Gronauer

Citations in the corpus

• Multi-agent deep reinforcement learning: a survey (2021, background): “As a countermeas-ure, Everett and Roberts (2018) proposed the switching agent model (SAM), which learns a set of opponent models and a switching mechanism between models.”