Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
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Jun 30, 2020 - Jupyter Notebook
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Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
machine-learning reinforcement-learning qlearning deep-learning deep-reinforcement-learning artificial-intelligence dqn deepmind evolution-strategies ppo a2c policy-gradients
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
qlearning deep-learning unity tensorflow deep-reinforcement-learning pytorch tensorflow-tutorials deep-q-network actor-critic deep-q-learning ppo a2c
Python library for Reinforcement Learning.
reinforcement-learning qlearning deep-learning deep-reinforcement-learning openai-gym pytorch dqn rl atari ddpg sac trpo mujoco pybullet
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
qlearning random-forest tensorflow keras deep-reinforcement-learning pytorch lstm gan dqn naive-bayes-classifier logistic-regression resnet convolutional-neural-networks support-vector-machine decision-trees ddpg k-nearest-neighbours actor-critic trpo ppo
Deep Reinforcement Learning library for humans
framework deep-neural-networks lasagne theano reinforcement-learning opeani-gym binder qlearning deep-learning
Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.
tutorial reinforcement-learning qlearning deep-reinforcement-learning dqn policy-gradient sarsa a3c ddpg multi-agent-systems inverse-reinforcement-learning multi-agent-reinforcement-learning reinforcementlearning-tutorial rl-tutorial
R.L. methods and techniques.
reinforcement-learning qlearning q-learning markov sarsa gridworld markov-decision-processes tabular-methods
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
machine-learning qlearning ai deep-learning neural-network micropython esp32 q-learning artificial-intelligence neurons deeplearning mlp predictive-modeling ann lopy wipy pycom multilayer-perceptron hc2
MinRL provides clean, minimal implementations of fundamental reinforcement learning algorithms in a customizable GridWorld environment. The project focuses on educational clarity and implementation simplicity while maintaining production-quality code standards.
Self parking with reinforcement learning
machine-learning reinforcement-learning qlearning ai artificial-intelligence parking neural-networks autonomous-car
An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations using Multi Independent Agent Reinforcement Learning
Web dev examples, tricks and more
Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874
reinforcement-learning qlearning deep-learning neural-network generative-adversarial-network gan-dqn
This demo is a C# port of ConvNetJS RLDemo (https://cs.stanford.edu/people/karpathy/convnetjs/demo/rldemo.html) by Andrej Karpathy
Graph-based Deep Q Network for Web Navigation
reinforcement-learning qlearning rl graph-based-learning graph-neural-networks rainbow-dqn dqn-pytorch
In-browser reinforcement learning for flappy bird 🐦
Set of games and simulations designed to experiment with QLearning, Neuroevolution, and PoseNet.
Kotlin implementation of algorithms, examples, and exercises from the Sutton and Barto: Reinforcement Learning (2nd Edition)
This is a three dimensional pathfinding algorithm visualizer project.
javascript webgl threejs reinforcement-learning qlearning algorithms graph-algorithms reactjs machine-learning-algorithms pathfinding breadth-first-search dijkstra-algorithm tweenjs algorithm-visualisation machine-learning-visualization shortest-path-algorithm react-three-fiber
A simple reinforcement learning simulation engine for OpenAI's gym.
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