Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
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Updated
Feb 10, 2024 - Python
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
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
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
Scalable, event-driven, deep-learning-friendly backtesting library
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version
Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.
Python library for Reinforcement Learning.
BabyAI platform. A testbed for training agents to understand and execute language commands.
An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES
Texas holdem OpenAi gym poker environment with reinforcement learning based on keras-rl. Includes virtual rendering and montecarlo for equity calculation.
A3C LSTM Atari with Pytorch plus A3G design
💦 Seamless, distributed, real-time integration of Blender into PyTorch data pipelines
Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
StarCraft environment for OpenAI Gym, based on Facebook's TorchCraft. (In progress)
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.
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