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Deep-Reinforcement-Learning-Hands-On-Second-Edition

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

Code branches

The repository is maintained to keep dependency versions up-to-date. This requires efforts and time to test all the examples on new versions, so, be patient.

The logic is following: there are several branches of the code, corresponding to major pytorch version code was tested. Due to incompatibilities in pytorch and other components, code in the printed book might differ from the code in the repo.

At the moment, there are the following branches available:

All the branches uses python 3.7, more recent versions weren't tested.

Dependencies installation

Anaconda is recommended for virtual environment creation. Once installed, the following steps will install everything needed:

Now you're ready to launch and experiment with examples!