Simple Reinforcement Learning Framework
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Updated
Dec 16, 2017 - Python
Simple Reinforcement Learning Framework
Attentional Mechanism incorporated in Asynchronous Advantage Actor Critic a3c/a2c deep mind
Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.
Deep reinforcement learning agent
StarCraft II / PySC2 reinforcement learning research
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Play Atari(Breakout) Game by DRL - DQN, Noisy DQN and A3C
The Asynchronous Advantage Actor Critic (A3C) algorithm is one of the newest algorithms to be developed under the field of Deep Reinforcement Learning Algorithms. This algorithm was developed by Google’s DeepMind which is the Artificial Intelligence division of Google. In this repository, I have my implementations of A3C on Cartpole game, Robot …
Simple A3C implementation with pytorch + multiprocessing
A3C LSTM Atari with Pytorch plus A3G design
PyTorch implementation of A3C (Asynchronous Advantage Actor Critic)
I utilized the A3C (Asynchronous Advantage Actor-Critic) algorithm to train a Deep Q-Learning (DQN) model, specifically tailored to solve the Kungfu gym environment.
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
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