Deep Learning framework for Go from scratch
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Updated
May 30, 2024 - Go
Deep Learning framework for Go from scratch
RL-based agent for playing Atari Pong
Reinforcement Learning Short Course
A real-time Mario game-playing AI built on a custom Deep Q-Network.
A reinforcement learning package for Julia
Global Markets Options Pricing
Lunar Lander training using Deep-Q-Learning
Version of CyberBattleSim https://github.com/microsoft/CyberBattleSim with extended funcitonality for training RL agents attacks on web applications
Reinforcement learning for playing flappy bird game
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
The code release of "Real-time Active Vision for a Humanoid Soccer Robot Using Deep Reinforcement Learning" paper, ICAART 2021
Deep Q Learning blackbox strategies for casino games
This repo implements Deep Q-Network (DQN) for solving the Frozenlake-v1 environment of the Gymnasium library using Python 3.8 and PyTorch 2.0.1 in both 4x4 and 8x8 map sizes.
This repo implements Deep Q-Network (DQN) for solving the Cliff Walking v0 environment of the Gymnasium library using Python 3.8 and PyTorch 2.0.1 with the finest tuning.
This repo implements Deep Q-Network (DQN) for solving the Mountain Car v0 environment (discrete version) of the Gymnasium library using Python 3.8 and PyTorch 2.0.1 with a custom reward function for faster convergence.
DQN for algorithmic trading
Implementation of state-of-the-art reinforcement learning algorithms
Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress
Application of reinforcement learning to the management of traffic light intersection
Play Atari Pong with REINFORCE and Deep Q-Learning
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