322 Open source projects that are alternatives of or similar to Pcgrad

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Rainbow: Combining Improvements in Deep Reinforcement Learning

Resources, papers, tutorials

💡 Repo of learning notes in DRL and DL, theory, codes, models and notes maybe.

Pytorch Implementation of MuZero

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement

Code for reproducing experiments in Model-Based Active Exploration, ICML 2019

TensorFlow implementation of Deep Reinforcement Learning papers

Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...

Reinforcement learning with tensorflow 2 keras

My Solution to Assignments of CS234

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

Artificial intelligence for the Snake game.

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

MuZero

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

PyTorch Implementation of Trust Region Policy Optimization (TRPO)

Notes and comments about Deep Reinforcement Learning papers

A collection of materials to help you learn about deep learning

Top 200 deep learning Github repositories sorted by the number of stars.

Summary of key papers in deep reinforcement learning. Heavily based on OpenAI SpinningUp.

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

Repository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung

Unity Machine Learning Agents Toolkit

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

CSCI 599 deep learning and its applications final project

Deep reinforcement learning for recommendation system

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym

Imitation learning algorithms

A deep reinforcement learning bot that plays tetris

Explore and find reinforcement learning environments in a list of 150+ open source environments.

An offline deep reinforcement learning library

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

An advanced program in Machine Learning and Deep Learning

Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras

PyTorch Implementation of Neural Episodic Control (NEC)

🤖 Implements of Reinforcement Learning algorithms.

Malmo Collaborative AI Challenge - Team Pig Catcher

Teach a Quadcopter How to Fly!

Highly Modular and Scalable Reinforcement Learning

深度学习论文阅读路线图

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

Attention-guided CNN for image denoising(Neural Networks,2020)

Deep Reinforcement Learning (DRL) agents applied to medical images

Deep Reinforcement Learning Notes