Search Results for author: Michael Bradley Johanson

Found 4 papers, 0 papers with code

Emergent Bartering Behaviour in Multi-Agent Reinforcement Learning

no code implementations13 May 2022 Michael Bradley Johanson, Edward Hughes, Finbarr Timbers, Joel Z. Leibo

Agents learn to produce resources in a spatially complex world, trade them with one another, and consume those that they prefer.

Multi-agent Reinforcement Learning reinforcement-learning

The Frost Hollow Experiments: Pavlovian Signalling as a Path to Coordination and Communication Between Agents

no code implementations17 Mar 2022 Patrick M. Pilarski, Andrew Butcher, Elnaz Davoodi, Michael Bradley Johanson, Dylan J. A. Brenneis, Adam S. R. Parker, Leslie Acker, Matthew M. Botvinick, Joseph Modayil, Adam White

Our results showcase the speed of learning for Pavlovian signalling, the impact that different temporal representations do (and do not) have on agent-agent coordination, and how temporal aliasing impacts agent-agent and human-agent interactions differently.

Decision Making reinforcement-learning

Pavlovian Signalling with General Value Functions in Agent-Agent Temporal Decision Making

no code implementations11 Jan 2022 Andrew Butcher, Michael Bradley Johanson, Elnaz Davoodi, Dylan J. A. Brenneis, Leslie Acker, Adam S. R. Parker, Adam White, Joseph Modayil, Patrick M. Pilarski

We further show how to computationally build this adaptive signalling process out of a fixed signalling process, characterized by fast continual prediction learning and minimal constraints on the nature of the agent receiving signals.

Decision Making reinforcement-learning

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