Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
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Updated
Dec 4, 2020 - Python
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
Reinforcement learning tutorials
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
AI research environment for the Atari 2600 games 🤖.
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
A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing
This projects aims to use reinforcement learning algorithms to play the game 2048.
Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.
Keras implementation of DQN on ViZDoom environment
📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️
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.
Snake game with neural network AI model
Using pytorch to implement DQN / DDQN / Atari DDQN
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
Parallel training on multiple Deep RL agents with Federated Learning approach to gain higher rewards
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