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sc2agents

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List of commits on branch master.
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d47e01f576f5f569400f7718d0e56225a10d60b5

Update readme

committed 7 years ago
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88510b3f77779fed029fa306d3eb719ca5f64def

Add code for training using the a2c algorithm from baselines

iislamelnabarawy committed 7 years ago
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2bb35a83e92109bb83a6af482de77641ea25f472

Fix requires name for absl to absl-py

iislamelnabarawy committed 7 years ago
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e974771cfb9a097b71ac141c16d2dd7daf24ea02

Advance version number and add more requirements to setup.py

iislamelnabarawy committed 7 years ago
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5d1bf848f89f3f6796fccbe2f16dfd961876e106

Switch train_dqn to use the new version of the MoveToBeacon environment

iislamelnabarawy committed 7 years ago
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a12e12b3048f4f533e7ef342b3cf156636865f05

Use absl instead of gflags

iislamelnabarawy committed 7 years ago

README

The README file for this repository.

PySC2 Reinforcement Learning Agents

Reinforcement Learning agents that play the StarCraft II Minimaps and eventually will be able to play the full game.

This project depends on the sc2gym OpenAI Gym Environments.

This is still a work in progress. The train_a2c.py no longer runs due to changes in the baselines code. The current plan is to replace both train_dqn.py and train_a2c.py with standalone implementations, and add a standalone A3C implementation, as well as benchmark results on the various sc2gym environments.