Emergent Tool Use from Multi-Agent Interaction
We've observed agents discovering progressively more complex tool use while playing a simple game of hide-and-seek.
Implicit Generation and Generalization Methods for Energy-Based Models
Neural MMO: A Massively Multiagent Game Environment
Learning Concepts with Energy Functions
OpenAI Fellows Fall 2018
Interpretable Machine Learning through Teaching
Meta-Learning for Wrestling
We've found that self-play allows simulated AIs to discover physical skills like tackling, ducking, faking, kicking, catching, and diving for the ball, without explicitly designing an environment with these skills in mind.