Reinforcement-learning-algorithms Libraries

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Reinforcement-learning-algorithms Libraries

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

RL Algorithms implemented in Python for the task of global path planning for mobile robot. Such system is said to have feedback. The agent acts on the environment, and the environment acts on the age…

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Asynchronous Advantage Actor-Critic (A3C) The A3C algorithm was released by Google’s DeepMind group earlier this year, and it made a splash by essentially obsoleting DQN. It was faster, simpler, more…

Scalable Implementation of Neural Fictitous Self-Play

This codebase is designed for: Before starting NFSP, please spin up the log server by If you use this repository in your research, you can cite it by citing PokerRL as follows: [1] Heinrich, Johannes…

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convolutional-neural-networks

machine-learning

benchmark-scripts