Leo Ardon

[Leo Ardon @leoardon_]

Many thanks to our awesome collaborators
Jared Vann, Deepeka Garg, @tl_spooner, @mitra6ce!
@JPMorgan AI Research

#AAMAS #AgentBasedModeling #ABM #MARL #ReinforcementLearning #Phantom #JPMorganAIResearch

🔗Documentation: https://t.co/qNWECyPfro

🔗GitHub: https://t.co/6fonaS6K8m

[Leo Ardon @leoardon_]

Excited to share our @aamas2023 paper: "Phantom: An RL-Driven Framework for Agent-Based Modeling! Phantom bridges the gap between #ABM and #MARL, enabling the study of complex multi-agent systems.
Come and meet us at the conference on June 2.

https://t.co/DuAGYDrnIu

[Leo Ardon @leoardon_]

Phantom enables the specification of complex multi-agent systems, in a MARL-compatible way providing features such as dynamic connectivity patterns with partial observability guarantee, complex turn-taking environments, integration with #RLlib for large scale training, ...