There are 1 repository under dqn-tensorflow topic.
OpenAI LunarLander-v2 DeepRL-based solutions (DQN, DuelingDQN, D3QN)
A (very amateur) foreign exchange trading bot utilizing CNN + DQN.
Super Mario Bros training with Ray RLlib DQN algorithm
An implementation of an Autonomous Vehicle Agent in CARLA simulator, using TF-Agents
OpenAI MountainCar-v0 DeepRL-based solutions (DQN, DuelingDQN, D3QN)
Created an DQN AI Agent which chooses to sell, buy, or keep stocks from various companies.
Codes implementation of the paper "Deep reinforcement learning for minimizing tardiness in parallel machine scheduling with sequence dependent family setups"
Code for the paper "DQN-based ethical decision-making for self-driving cars in unavoidable crashes: An applied ethical knob."
a nearest frontier based DQN alg for robot exploration
In this repository there are the projects developed during the course of Advance Optimization-based Robot Control. The main topics are Task Space Inverse Dynamics (TSID), Differential Dynamic Programming (DDP) and Deep Q-Network (DQN).
A simple implementation of HFT (High-Frequency Trading) in Python on the concept of DQN for forex market
Implementation of reinforcement learning algorithms in a cyber security simulation. Autonomous and Adaptive Systems (University of Bologna, Italy) course project.
Apply DQN model in reinforcement learning to build an AI model with the goal of mastering tic tac toe game.
A DQN sample based on Keras or Tensorflow2.x using Maze env, which mainly take MorvanZhou's code for reference.
This repository focuses on anomaly detection with Reinforcement Learning. DQNs are used to approximate the value function for anomalies on timeseries. The repository is part of my Master Thesis in Computer Science
simulation platform for algorithmic pricing
Solving MountainCar-v0 environment in Keras with Deep Q Learning an Deep Reinforcement Learning algorithm
Atari OpenAI Pong-v4 DeepRL-based solutions (DQN, DuelingDQN, D3QN)
Project code for my seminar paper
Obstacle avoidance with DQN Algorithm (Double DQN, Prioritized Experience Replay, Dueling Network Architectures, N-step Return, Soft TargetNet, Parallel computing...
This is how you teach a dumb bot to walk on two feet.
This Repository contains my implementation of popular algorithms on popular environments.
This code contains some modification of the main forked code and some features in order to regenerate and simulate the results mentioned in the linked paper.
OpenAI CartPole-v0 DeepRL-based solutions (DQN, DuelingDQN, D3QN)
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.
Play CartPole with DQN implemented with Tensorflow 2.0
Amazon Fashion Product Recommendation using Deep Reinforcement Learning
An Ai using Reinforcement Learning to survive in a very basic roguelike environment
Tensorflow based DQN and PyTorch based DDQN Agent for 'MountainCar-v0' openai-gym environment.
Reinforcement Learning (RL DQN) / Atari Acrobot, Breakout, and Space Invaders.
Train a model with Reinforcement Learning
Designing a DRL agent to drive autonomously in Carla Env
本项目是用Python编写的AI小游戏,是作者实现用AI玩Flappy Bird小游戏的小项目,当然为了便于AI训练,该游戏进行了一定的简化处理,没有添加开始游戏等其他界面。本文使用的AI算法是基于TensorFlow框架的Nature DQN算法。