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
Implementations from the free course Deep Reinforcement Learning with Tensorflow
Python library for Reinforcement Learning.
Deep Reinforcement Learning library for humans
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
A model car learns driving along a track using reinforcement learning
In-browser reinforcement learning for flappy bird
This demo is a C# port of ConvNetJS RLDemo (https://cs.stanford.edu/people/karpathy/convnetjs/demo/rldemo.html) by Andrej Karpathy
Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874
CartPole game by Reinforcement Learning, a journey from training to inference
Graph-based Deep Q Network for Web Navigation
A simple reinforcement learning simulation engine for OpenAI's gym.
Automatic car parking with reinforcement learning
Kotlin implementation of algorithms, examples, and exercises from the Sutton and Barto: Reinforcement Learning (2nd Edition)
Value iteration, policy iteration, and Q-Learning in a grid-world MDP.
Code repository for my thesis on algorithmic trading
Q learning AI bot perceiving environment with CNN
Deep Reinforcement Learning Toolbox for Robotics using Keras and TensorFlow
reinforcement learning algorithms from the book by Sutton and Barto
Snake AI, Genetic Algorithm, Rust
FasTack can be used to optimize sailboat routes based on wind data using reinforcement learning with value iteration and value iteration with Q-learning.
Solutions and figures for problems from Reinforcement Learning: An Introduction Sutton&Barto
Othello reinforcement learning game playing engine
AI Powered Traffic Signal Control (BTS Global Hackathon)
Godot Q-Learning algorithm implementation.
Multi-agent reinforcement learning framework
tabular q learning for trading
Micro neural network with multi-dimensional layers, multi-shaped data, fully or locally meshing, ...
Reinforcement Learning Course Project - IIT Bombay Fall 2018
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