There are 38 repositories under openai-gym topic.
FinRL®: Financial Reinforcement Learning. 🔥
Repo for the Deep Reinforcement Learning Nanodegree program
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
For trading. Please star.
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
A curated list of awesome NVIDIA Issac Gym frameworks, papers, software, and resources
Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
Python library for Reinforcement Learning.
Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.
Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version
An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES
BabyAI platform. A testbed for training agents to understand and execute language commands.
Build and run AI agents using Docker Compose. A collection of ready-to-use examples for orchestrating open-source LLMs, tools, and agent runtimes.
Texas holdem OpenAi gym poker environment with reinforcement learning based on keras-rl. Includes virtual rendering and montecarlo for equity calculation.
Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
A collection of multi agent environments based on OpenAI gym.
Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.
:sweat_drops: Seamless, distributed, real-time integration of Blender into PyTorch data pipelines
TensorFlow2教程 TensorFlow 2.0 Tutorial 入门教程实战案例
A3C LSTM Atari with Pytorch plus A3G design
Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)
StarCraft environment for OpenAI Gym, based on Facebook's TorchCraft. (In progress)
A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)
Deep Reinforcement Learning for Robotic Grasping from Octrees
Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
Cloud-native Financial Reinforcement Learning