445 Open source projects that are alternatives of or similar to Deeprl_algorithms

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018

Deep Planning Network: Control from pixels by latent planning with learned dynamics

Functional Reinforcement Learning in Scala.

This project aims to select a supervised algorithm that can predict stock prices basing on historical data and use the predictor generated to form trading strategies.

We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.

Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.

Notes and comments about Deep Reinforcement Learning papers

ChainerRL is a deep reinforcement learning library built on top of Chainer.

A curated list of Monte Carlo tree search papers with implementations.

Jupyter notebooks for Chainer hands-on

Python (pytorch) code for Lu, Q., Hasson U. & Norman K. A. (2021). When to retrieve and encode episodic memories: a neural network model of hippocampal-cortical interaction.

With underflow, create trafic light clusters that interact together to regulate circulation

UAV Obstacle Avoidance using Deep Recurrent Reinforcement Learning with Temporal Attention

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

Reinforcement Learning algorithm's using google-colab

an implementation of CommNet

Python implementations of some of the fundamental Machine Learning models and algorithms from scratch.

Code for our CVPR-2021 paper on Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings.

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing

PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)

AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

Develop ultimate AI Pokémon trainer

This is the official implementation of Multi-Agent PPO.

Multi-Joint dynamics with Contact. A general purpose physics simulator.

Seq2seq chatbot with attention and anti-language model to suppress generic response, option for further improve by deep reinforcement learning.

Solving board games like Connect4 using Deep Reinforcement Learning

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Deep Reinforcement Learning algorithms implemented in PyTorch

Applied Deep Learning (2019 Spring) @ NTU

🐵 An AI chess-board-game framework(by many programming languages) implementations.

Deep Reinforcement Learning for Robotic Grasping from Octrees

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Solving POMDP using Recurrent networks

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

Mujoco Model for UR5-Ridgeback-Robotiq Robot

FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

Multiple implementations for abstractive text summurization , using google colab

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统，当你的影响可以被忽略，你才能实现，Jiang主席所谓之，闷声发大财。

Summaries of machine learning papers

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

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

A reinforcement learning package for Julia

A TensorFlow-based framework for learning about and experimenting with reinforcement learning algorithms

Implementation of the Deep Q-learning algorithm to solve MDPs

End to End Mobile Robot Navigation using DDPG (Continuous Control with Deep Reinforcement Learning) based on Tensorflow + Gazebo

PyTorch C++ Reinforcement Learning

Booklet and exam of Artificial Intelligence Master Degree at Amirkabir University of technology.

Malmo Collaborative AI Challenge - Team Pig Catcher

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

No description or website provided.

A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.

Reinforcement Learning Demos