32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
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Updated
Jun 17, 2021 - Jupyter Notebook
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
Reinforcement learning tutorials
Pytorch implementation of the Deep Deterministic Policy Gradients for Continuous Control
Implementation of Advantage-Actor-Critic for gym environments
In this Repository, we intend to implement the DQN and also the DDQN algorithm in case of training an agent to solve the Lunar-Lander problem. there are lots of exciting results after training which have been attached.
Best solution on OpenAI Leaderboard(for Nov 2019)
Reinforcement learning with DQN algorithm on LunarLander
Implementation of some reinforcement learning algorithms
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