248 Open source projects that are alternatives of or similar to Recurrent-Deep-Q-Learning

Modeling agents with probabilistic programs

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

Implementing a RL algorithm based upon a partially observable Markov decision process.

Pytorch Implementation of RL algorithms

Repo for the Deep Reinforcement Learning Nanodegree program

Python implementation of POMDP framework and PBVI & POMCP algorithms.

Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

xingtian is a componentized library for the development and verification of reinforcement learning algorithms

Deep Reinforcement Learning Pong Agent, King Pong, he's the best

Online Replanning in Belief Space for Partially Observable Task and Motion Problems

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network

Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.

juliareinforcementlearning.org/

Jupyter notebooks for Chainer hands-on

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

Solve BipedalWalkerHardcore-v2 with TD3

A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.

An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.

An LSTM example using tensorflow to predict the next word in a text

Reinforcement Learning in Vrep

CS7641 - Machine Learning - Assignment 4 - Markov Decision Processes

The implement of all kinds of dqn reinforcement learning with Pytorch

This repo provides projects on deep-learning mainly using Tensorflow 2.0

Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the…

ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

NMA deep learning course

Time Series Prediction, Stateful LSTM; 时间序列预测，洗发水销量/股票走势预测，有状态循环神经网络

Scraps historical stock market data from Yahoo Finance (https://finance.yahoo.com/)

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

Multiple Object Tracking System in Keras + (Detection Network - YOLO)

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

Autonomous Drifting using Reinforcement Learning

Illegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acquisition or merger plan) before the information is made public. Detecting illegal insider trading is difficult due to the complex, nonlinear, and non-stationary nature of the stock market. In this work, we pres…

A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments

雷达回波外推，ConvLSTM，训练模型并外推。

Solving board games like Connect4 using Deep Reinforcement Learning

Spectral Normalization and Projection Discriminator

Make it easy to specify simple MDPs that are compatible with the OpenAI Gym.

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

This project solves self-made maze in a variety of ways: A-star, Q-learning and Deep Q-network.

bitcoin prediction algorithms

Deep Q Network implements by Tensorflow

Classification of Urban Sound Audio Dataset using LSTM-based model.

In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.

EffNet: AN EFFICIENT STRUCTURE FOR CONVOLUTIONAL NEURAL NETWORKS

Deep Q-Learning (DQN) implementation for Atari pong.

All the code files related to the deep learning course from PadhAI

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

Rich literature review and discussion on the implementation of "Hierarchical Decision-Making for Autonomous Driving"

A framework for easy prototyping of distributed reinforcement learning algorithms

ImageNet pre-trained SharpPeleeNet can be used in real-time Semantic Segmentation/Objects Detection

Optical character recognition Using Deep Learning

Comparison of bandit algorithms from the Reinforcement Learning bible.

Logarithmic Reinforcement Learning

Final Project of the Udacity AI Programming with Python Nanodegree

A simple open domain generative based chatbot based on Recurrent Neural Networks

My implementation of "Hierarchical Attention Networks for Document Classification" in Keras

A PyTorch implementation of Human-Level Control through Deep Reinforcement Learning