82 Open source projects that are alternatives of or similar to stadium

RL agent to play μRTS with Stable-Baselines3 and PyTorch

a unified environment for supervised learning and reinforcement learning in the context of quantitative trading

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

Live Trading. Please star.

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

An elegant PyTorch deep reinforcement learning library.

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

Trading Environment(OpenAI Gym) + PPO(TensorForce)

TD-Regularized Actor-Critic Methods

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)

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

Scalable Implementation of Neural Fictitous Self-Play

OpenAI Gym Environment API based Bitcoin trading environment

Modularized Implementation of Deep RL Algorithms in PyTorch

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

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Lightweight deep RL Libraray for continuous control.

ROS 2 enabled Machine Learning algorithms

juliareinforcementlearning.org/

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

No description or website provided.

Implementing reinforcement-learning algorithms for pysc2 -environment

Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3

RL Reach is a platform for running reproducible reinforcement learning experiments.

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

An example implementation of an OpenAI Gym environment used for a Ray RLlib tutorial

Reinforcement Learning Agents Trained in the CARLA Simulator

This projects aims to use reinforcement learning algorithms to play the game 2048.

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

No description or website provided.

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

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

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.

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

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x

Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"

Code for reproducing results in ICML 2020 paper "PackIt: A Virtual Environment for Geometric Planning"

Reinforcement learning models in ViZDoom environment

Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action

Stable Baselines官方文档中文版

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

A Gym-like environment for Reinforcement Learning in Rocket League

Reinforcement learning tutorials

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

A collection of multi-agent reinforcement learning OpenAI gym environments

This is the official implementation of Multi-Agent PPO.

☔ Deep RL agents with PyTorch☔

Our NIPS 2017: Learning to Run source code

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

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.

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

A collection of pre-trained RL agents using Stable Baselines3

An environment for an obstacle avoidance task

Provide full reinforcement learning benchmark on mujoco environments, including ddpg, sac, td3, pg, a2c, ppo, library