6631 Open source projects that are alternatives of or similar to Pytorch_sac

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

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Gibson Environments: Real-World Perception for Embodied Agents

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

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

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Attempt at reinforcement learning with curiosity for Sonic the Hedgehog games. Number 149 on OpenAI retro contest leaderboard, but more work needed

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley

Implementation of the Deep Q-learning algorithm to solve MDPs

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

For deep RL and the future of AI.

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

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

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

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

Some notebooks

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

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

Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)

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

An advanced program in Machine Learning and Deep Learning

A Trading environment base on Gym

Reinforcement Learning Workshop for Data Science BKK

OpenAI Gym wrapper for the DeepMind Control Suite

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

31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Using deep reinforcement learning to tackle the game 2048.

Notes and comments about Deep Reinforcement Learning papers

Reinforcement learning material, code and exercises for Udacity Nanodegree programs.

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

MAGNet: Multi-agents control using Graph Neural Networks

TensorFlow Tutorials with YouTube Videos

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

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

60_Days_RL_Challenge中文版

The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.

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

Artificial intelligence for the Snake game.

My Solution to Assignments of CS234

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

Learning human driver models from NGSIM data with imitation learning.

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

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

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🤖 Implements of Reinforcement Learning algorithms.

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Master Thesis: Limit order placement with Reinforcement Learning