Scalable Evaluation Of Multi-Agent Reinforcement Learning With Melting Pot | Icml 2021

Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot | ICML 2021

Artificial Intelligence

Scalable and Robust Multi-Agent Reinforcement Learning

Microsoft Research

DeepCoMP: Multi-agent Reinforcement Learning for Multi-cell Selection in 5G and Beyond

Deep Reinforcement Learning for Multi-Agent Interaction - Stefano Albrecht

Multi-Agent Systems at Alan Turing Institute

Stefano V. Albrecht: Deep Reinforcement Learning for Multi-Agent Interaction

Multi-Agent Learning Seminar

Introduction to Multi-Agent Reinforcement Learning

Miguel Suau: Scaling up MARL: Distributed Simulation of Large Networked Systems

Multi-Agent Learning Seminar

Deep Multiagent Reinforcement Learning for Partially Observable Parameterized Environments

Microsoft Research

Multi-Agent Reinforcement Learning (Part I)

Simons Institute

Learning to Communicate with Deep Multi-Agent Reinforcement Learning - Jakob Foerster

Coordinated Multi-agent Imitation Learning - Experiment

Talk: marl-jax: Multi-agent Reinforcement Leaning framework for Social Generalization

KDD 2023 - Hierarchical Multi-Agent Deep Reinforcement Learning Dynamic Asynchronous Macro Strategy

Association for Computing Machinery (ACM)

InstaDeep MARL Team: Growing the MARL software ecosystem in JAX

Multi-Agent Learning Seminar

[ICML 2021] DFAC Framework Presentation

The power of reinforcement learning and robotics