6 skills found
openai / Multi Agent Emergence EnvironmentsEnvironment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"
facebookresearch / MinimaxEfficient baselines for autocurricula in JAX.
LijunSun90 / MatrixWorldMatrixWorld: A pursuit-evasion platform for safe multi-agent coordination and autocurricula
leonardovvla / Multi Agent Cooperation LearningThis is a project based on OpenAI's multi-agent-emergence-environments (Emergent Tool Use from Multi-Agent Autocurricula, Baker et al.), and uses its framework to build a new environment (MACL) where developers can deploy their own experiments in order to study good ways to foster cooperation intelligence in machines. This work was done during a Semester Project at ETH Zürich and I hope it can serve as additional material to support engineers and researchers in using OpenAI's original code to develop their own projects. For more information, a report is attached below under the name "Cooperation Learning in multi-agent systems".
DT6A / Multi Agent Emergence UnityReproduction of environment from paper "Emergent Tool Use From Multi-Agent Autocurricula" with Unity and ML-Agents
jetnew / The Chosen OneThe Chosen One trained with Multi-Agent Reinforcement Learning and Generative Progressive Autocurricula, won Best AI Hack at iNTUition 2019.
