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Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.

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Deep-Reinforcement-Learning

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Collection of Deep Reinforcement Learning Algorithms in PyTorch.

Below a list of Jupyter Notebooks with implementations

Value Based / Offline Methods

Discrete Action Space

Distributional RL

Continuous Action Space

-[Soft-DQN] TODO


Policy Based / Online Methods

Discrete Action Space

Continuous Action Space

gae* = Generalized Advanted Estimation Source


Actor-Critic Algorithms


Upside-Down-Reinforcement-Learning

Discrete and continuous action space implementation of ⅂ꓤ


Munchausen Reinforcement Learning

Implementierungen von Munchausen RL


Model-Based RL


Black-Box Optimization


Multi-Agent Deep Reinforcement Learning

Hyperparameter Tuning

Gridsearch

Random Forest [TODO]

Genetic Algorithm [TODO]

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