Pytorch solutions for UC Berkeley's cs285 assignments

mdeib, updated 🕥 2022-01-21 20:54:18

UC Berkeley Deep RL Pytorch Solutions

Pytorch solutions for UC Berkeley's CS285 Deep RL course. If you wish to complete the assignments yourself, a pytorch version of the official starter code has also been made.

While these solutions have produced reasonable results be aware that there may still be small bugs in the code and/or the solutions.

Issues

Bump ipython from 6.4.0 to 7.16.3 in /hw2

opened on 2022-01-21 20:54:17 by dependabot[bot]

Bumps ipython from 6.4.0 to 7.16.3.

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Bump ipython from 6.4.0 to 7.16.3 in /hw3

opened on 2022-01-21 20:30:48 by dependabot[bot]

Bumps ipython from 6.4.0 to 7.16.3.

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Bump ipython from 6.4.0 to 7.16.3 in /hw1

opened on 2022-01-21 20:29:35 by dependabot[bot]

Bumps ipython from 6.4.0 to 7.16.3.

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Average the loss?

opened on 2022-01-04 04:10:51 by heli-sudoo

https://github.com/mdeib/berkeley-deep-RL-pytorch-solutions/blob/47da61101d144e14926975f3732af7ac020382b3/hw2/cs285/policies/MLP_policy.py#L115

Shall the loss be averaged by N? I apologize if I am wrong. Do not have much experience with RL. Thanks.

Matt Deible
GitHub Repository

cs285 reinforcement-learning pytorch-rl