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Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.

Home Page: https://docs.google.com/presentation/d/18olkElCpJoE0iPnyS6DpE8zH8I3mggcCvcWI5yJDJkI/edit?usp=sharing

License: MIT License

Python 100.00%

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dehrl's Issues

Some errors occur.

Thanks for your code. However when I run the script, some errors occur.
When I run "MineCraft":
CUDA_VISIBLE_DEVICES=0 python main.py --algo ppo --use-gae --lr 2.5e-4 --clip-param 0.1 --value-loss-coef 1 --num-processes 1 --actor-critic-mini-batch-size 256 --actor-critic-epoch 4 --exp code_release --obs-type 'image' --env-name "MineCraft" ..
error1_minecraft

When I run "Explore2DContinuous":
error2_explore2d

When I run "Explore2D":
error_run with 9 subpolicies

Hoping for your reply.

Dead link of the paper that was under review in ICLR2019

Greetings.

Thank you for open sourcing the code of your work on DEHRL.

In the Montezuma related section, you referenced a paper that was under review for 2019 at that time, but the provided dropbox link does not seem to be available anymore.

Quite some time have passed now so could you please add the reference of the paper itself ?

Thank you for your time.

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