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20162022
most citedCan I Trust the Explainer? Verifying Post-hoc Explanatory Methods

36 citations · 77 across the 5 of their papers we have counts for

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cs.MA2020

Exploring Zero-Shot Emergent Communication in Embodied Multi-Agent Populations

Kalesha Bullard, Franziska Meier, Douwe Kiela +2

Effective communication is an important skill for enabling information exchange and cooperation in multi-agent settings. Indeed, emergent communication is now a vibrant field of re…

cs.MA2018

Stable Opponent Shaping in Differentiable Games

Alistair Letcher, Jakob Foerster, David Balduzzi +2

A growing number of learning methods are actually differentiable games whose players optimise multiple, interdependent objectives in parallel -- from GANs and intrinsic curiosity t…

cs.MA2018

Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning

Jakob N. Foerster, Francis Song, Edward Hughes +5

When observing the actions of others, humans make inferences about why they acted as they did, and what this implies about the world; humans also use the fact that their actions wi…

cs.MA2018

Multi-Agent Common Knowledge Reinforcement Learning

Christian A. Schroeder de Witt, Jakob N. Foerster, Gregory Farquhar +3

Cooperative multi-agent reinforcement learning often requires decentralised policies, which severely limit the agents' ability to coordinate their behaviour. In this paper, we show…

cs.MA2018

Pommerman: A Multi-Agent Playground

Cinjon Resnick, Wes Eldridge, David Ha +5

We present Pommerman, a multi-agent environment based on the classic console game Bomberman. Pommerman consists of a set of scenarios, each having at least four players and contain…