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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)
Implementation of some reinforcement learning algorithms