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facebookresearch/translagentArchived

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82 stars·14 forks·Python·1 view

Translagent

Emergent Translation in Multi-Agent Communication PyTorch implementation of the models described in the paper Emergent Translation in Multi-Agent Communication.

Features

  • Model Implementations - Emergent translation in multi-agent communication.
  • Multi-agent Communication - Emergent translation in multi-agent communication games.
  • Reinforcement Learning - Emergent translation in multi-agent communication.

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Frequently asked questions

What does facebookresearch/translagent do?

Emergent Translation in Multi-Agent Communication PyTorch implementation of the models described in the paper Emergent Translation in Multi-Agent Communication.

What are the main features of facebookresearch/translagent?

The main features of facebookresearch/translagent are: Model Implementations, Multi-agent Communication, Reinforcement Learning.

What are some open-source alternatives to facebookresearch/translagent?

Open-source alternatives to facebookresearch/translagent include: floringogianu/categorical-dqn. higgsfield/rl-adventure-2. alexis-jacq/pytorch-dppo. atgambardella/pytorch-es. higgsfield/rl-adventure — Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/… ikostrikov/pytorch-a2c-ppo-acktr.