OpenAI’s AutoDIME: Automating Multi-Agent Environment Design for RL Agents
In the new paper AutoDIME: Automatic Design of Interesting Multi-Agent Environments, an OpenAI research team explores automatic environment design for multi-agent environments using an RL-trained t...
Source: syncedreview.com
In the new paper AutoDIME: Automatic Design of Interesting Multi-Agent Environments, an OpenAI research team explores automatic environment design for multi-agent environments using an RL-trained teacher that samples environments to maximize student learning. The work demonstrates that intrinsic teacher rewards are a promising approach for automating both single and multi-agent environment design.