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qfettes / DeepRL-Tutorials

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Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

reinforcement-learning gae deep-reinforcement-learning rainbow python3 pytorch deep-q-network actor-critic double-dqn quantile-regression dueling-dqn categorical-dqn ppo advantage-actor-critic a2c deep-recurrent-q-network prioritized-experience-replay multi-step-learning noisy-networks deeprl-tutorials
  • Updated May 19, 2021
  • Jupyter Notebook

Rahul-Choudhary-3614 / Deep-Reinforcement-Learning-Notebooks

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This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.

deep-reinforcement-learning rainbow doom dqn sarsa a3c ddqn ddpg-algorithm ppo a2c prioritized-experience-replay cartpole-v0 noisy-networks soft-actor-critic half-cheetah kungfumaster-v0 ant-v2 reinforce-algorithm
  • Updated Apr 24, 2021
  • Jupyter Notebook

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