A repository of Q-learning based Deep Reinforcement learning algorithms, including Linear DQN, DQN with experience reply, Dueling DQN and Double Dueling DQN. Mostly tested on Gym environments.
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Updated
Mar 25, 2019 - Python
A repository of Q-learning based Deep Reinforcement learning algorithms, including Linear DQN, DQN with experience reply, Dueling DQN and Double Dueling DQN. Mostly tested on Gym environments.
Evaluation and implementation of Reinforcement Learning algorithms. Python, OpenAI Gym, Tensorflow.
A (very amateur) foreign exchange trading bot utilizing CNN + DQN.
This repository includes source code for Deep Q Network architecture (DQN) implemented in Tensorflow library.
Deep RL toy example based on gym package with several methods
DQN agent for google chrome dino
The popular snake game using reinforcement learning (DQN)
Used Vizdoom API to train AI-Bot using DQN, DRQN and add a lot of improvements fixed-Q, Dueling, Prioritzing to maximize K/D of Bot.
This Repository contains my implementation of popular algorithms on popular environments.
Created an DQN AI Agent which chooses to sell, buy, or keep stocks from various companies.
Implementation reinforcement learning algorithms
Implementation of reinforcement learning algorithms in a cyber security simulation. Autonomous and Adaptive Systems (University of Bologna, Italy) course project.
Reinforcement Learning to manage the Logistics and resources of a warehouse.
Solving MountainCar-v0 environment in Keras with Deep Q Learning an Deep Reinforcement Learning algorithm
Population Based Training of neural networks for multiagent environments
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