CODE Multi-Agent RL: 20x Code + ReDel + AgentScope

Published: 12 August 2024
on channel: Discover AI

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Multiple code sources (notebooks, sequences, explanations) from Stanford, UC Berkeley, OpenAI to Cohere to Azure for HOW TO CODE multi-agents Reinforcement Learning. Form PyTorch to JAX, from sequential core to distributed parallel.

How to code Multi-modal multi-agent Reinforcement Learning in PyTorch and JAX.

Plus two brand new multi-agents frameworks for Coding in August 2024 (open-source):
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ReDel: A Toolkit for LLM-Powered Recursive Multi-Agent Systems
https://arxiv.org/pdf/2408.02248

Very Large-Scale Multi-Agent Simulation in AgentScope
https://arxiv.org/pdf/2407.17789

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