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'
The implement of all kinds of dqn reinforcement learning with Pytorch
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 🕹️
Using pytorch to implement DQN / DDQN / Atari DDQN
Parallel training on multiple Deep RL agents with Federated Learning approach to gain higher rewards
This code is the result of the collaboration of RL Turkey team.
Using N-step dueling DDQN with PER for playing Pacman game
DDQN inplementation on PLE FlappyBird environment in PyTorch.
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