ifyou000's repositories
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
CarRacingRL_DDQN
Reinforcement Learning for Gym CarRacing-v0 game (Double Deep Q Network)
ddpg
Implementation of Deep Deterministic Policy Gradients using TensorFlow and OpenAI Gym
DDQN
Deep Double Q-Learning implementation introduced by Hasselt et al in this paper: https://arxiv.org/abs/1509.06461. It's interfacing with openAI Gym. WIP.
DDQN-PER
Double Deep Q-Learning with Prioritized Experience Replay
Deep-Double-Q-Learning
Deep Double Q Learning
Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
DeepRL_DQN_tensorflow
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.
DeepRLNav
UAV Navigation by Reinforcement Learning
Double-Deep-Q-Learning-for-Resource-Allocation
Reproduce results of the research article "Deep Reinforcement Learning Based Resource Allocation for V2V Communications"
Double-DQN
Deep Reinforcement Learning with Double Q-learning
Hands-On-Q-Learning-with-Python
Hands-On Q-Learning with Python, published by Packt
q-learning-algorithms
This repository will aim to provide implementations of q-learning algorithms (DQN, Double-DQN, ...) using Pytorch.
q-learning-car
model-free reinforcement learning (q-learning) of a car to drive on a track
qLearn
Python Library for expressing Quantum Machine Learning Algorithms as well as utilzing core Quantum computing functionality to model quantum behavior.
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
RL_TSP_4static
Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper
tabular-Q-learning-Sarsa
tabular solved Q-learning and Sarsa in Python
TSP-improve
An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP problem.
TSP_DRL_PtrNet
PyTorch1.6, "Neural Combinatorial Optimization with Reinforcement Learning", Pointer Networks, Deep RL(Actor-Critic), Traveling Salesman Problem, Active Search