Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
-
Updated
Dec 4, 2020 - Python
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
Reinforcement learning tutorials
AI research environment for the Atari 2600 games 🤖.
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
Repository for codes of 'Deep Reinforcement Learning'
Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch
The implement of all kinds of dqn reinforcement learning with Pytorch
Keras implementation of DQN on ViZDoom environment
Using pytorch to implement DQN / DDQN / Atari DDQN
📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️
This projects aims to use reinforcement learning algorithms to play the game 2048.
This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.
My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.
TraderNet-CRv2 - Combining Deep Reinforcement Learning with Technical Analysis and Trend Monitoring on Cryptocurrency Markets
Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.
Deep Learning Project
DDQN inplementation on PLE FlappyBird environment in PyTorch.
Add a description, image, and links to the ddqn topic page so that developers can more easily learn about it.
To associate your repository with the ddqn topic, visit your repo's landing page and select "manage topics."