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Multi-agent Reinforcement Learning

21 papers with code · Methodology

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MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence

2 Dec 2017geek-ai/MAgent

Unlike previous research platforms on single or multi-agent reinforcement learning, MAgent focuses on supporting the tasks and the applications that require hundreds to millions of agents.

MULTI-AGENT REINFORCEMENT LEARNING

Learning to Communicate with Deep Multi-Agent Reinforcement Learning

NeurIPS 2016 iassael/learning-to-communicate

We consider the problem of multiple agents sensing and acting in environments with the goal of maximising their shared utility.

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The StarCraft Multi-Agent Challenge

11 Feb 2019oxwhirl/pymarl

In this paper, we propose the StarCraft Multi-Agent Challenge (SMAC) as a benchmark problem to fill this gap.

MULTI-AGENT REINFORCEMENT LEARNING STARCRAFT STARCRAFT II

QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

ICML 2018 oxwhirl/pymarl

At the same time, it is often possible to train the agents in a centralised fashion in a simulated or laboratory setting, where global state information is available and communication constraints are lifted.

MULTI-AGENT REINFORCEMENT LEARNING STARCRAFT STARCRAFT II

The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition

23 Jan 2019crowdAI/marLo

Learning in multi-agent scenarios is a fruitful research direction, but current approaches still show scalability problems in multiple games with general reward settings and different opponent types.

MULTI-AGENT REINFORCEMENT LEARNING

Mean Field Multi-Agent Reinforcement Learning

ICML 2018 mlii/mfrl

Existing multi-agent reinforcement learning methods are limited typically to a small number of agents.

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Learning with Opponent-Learning Awareness

13 Sep 2017alshedivat/lola

We also show that the LOLA update rule can be efficiently calculated using an extension of the policy gradient estimator, making the method suitable for model-free RL.

MULTI-AGENT REINFORCEMENT LEARNING

Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning

18 Feb 2018illidanlab/Simulator

Large-scale online ride-sharing platforms have substantially transformed our lives by reallocating transportation resources to alleviate traffic congestion and promote transportation efficiency.

MULTI-AGENT REINFORCEMENT LEARNING Q-LEARNING

Deep Multi-Agent Reinforcement Learning with Relevance Graphs

30 Nov 2018tegg89/DLCamp_Jeju2018

Over recent years, deep reinforcement learning has shown strong successes in complex single-agent tasks, and more recently this approach has also been applied to multi-agent domains.

MULTI-AGENT REINFORCEMENT LEARNING