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Distributed PyTorch implementation of D4PG with ray. Using a SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2RL which can be added to D4PG to improve its performance.

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scripts		scripts
README.md		README.md
run.py		run.py

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D4PG-ray

TODO:

Clear / clean code
Do testruns for LunarLander // Pendulum
Make comparisons of all features
Make Readme
Add PER

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Distributed PyTorch implementation of D4PG with ray. Using a SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2RL which can be added to D4PG to improve its performance.

reinforcement-learning distributed-computing reinforcement-learning-algorithms ray ddpg iqn state-of-the-art continuous-action-space d4pg

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