322 Open source projects that are alternatives of or similar to D3rlpy

My Solution to Assignments of CS234

MuZero

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

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

Notes and comments about Deep Reinforcement Learning papers

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

Artificial intelligence for the Snake game.

PyTorch Implementation of Trust Region Policy Optimization (TRPO)

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

A collection of materials to help you learn about deep learning

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

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

Resources, papers, tutorials

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

Pytorch Implementation of MuZero

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

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

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

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:

Rainbow: Combining Improvements in Deep Reinforcement Learning

Deep Reinforcement Learning (DRL) agents applied to medical images

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

Deep Reinforcement Learning Notes

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

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

CSCI 599 deep learning and its applications final project

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

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

Deep reinforcement learning for recommendation system

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

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

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

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

A deep reinforcement learning bot that plays tetris

Imitation learning algorithms

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

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

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

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

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.

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

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

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

Teach a Quadcopter How to Fly!

An advanced program in Machine Learning and Deep Learning

🤖 Implements of Reinforcement Learning algorithms.

PyTorch Implementation of Neural Episodic Control (NEC)

Unity Machine Learning Agents Toolkit

Malmo Collaborative AI Challenge - Team Pig Catcher

Highly Modular and Scalable Reinforcement Learning

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

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

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

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

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.

Reinforcement learning with tensorflow 2 keras

TensorFlow implementation of Deep Reinforcement Learning papers

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