Comments (3)
Hey @MarcoMeter, this is pretty cool! Sorry it took me a while to get back to you. Do you want to make it a bit more self-contained, like creating a cleanrl/ppo_trxl/ppo_trxl.py
? You can create the dependencies in cleanrl/ppo_trxl/pyproject.toml
cleanrl/ppo_trxl/poetry.lock
.
The main thing we are looking for a succinct, understandable implementations, benchmarks, and docs(see how we documented https://docs.cleanrl.dev/rl-algorithms/dqn/#dqn_ataripy as an example).
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Work is still in progress, so stay tuned ;)
https://github.com/MarcoMeter/episodic-transformer-memory-ppo/blob/cleanrl/train.py
I'll open a PR once ready.
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@vwxyzjn
I finally resolved the issue. Only one linear layer was supposed to be between the CNN and the transformer blocks. Quiet surprising that this additional layer hampered performance a lot.
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