Multitask Environments for RL
RL Environments in JAX 🌍
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
翻译 - 用于通用 RL 环境的基于 C++ 的高性能并行环境执行引擎。
µniverse: RL environments for HTML5 games
Level-based Foraging (LBF): A multi-agent environment for RL
A simple, yet elegant visualization of our stock trading RL agent environment.
A Crypto-trading reinforcement learning that explores the potential of using RL agents on a trading environment with multiple markets.
ANDES RL Environment for OpenAI Gym
A simple stochastic OpenAI environment for training RL agents
3D RL Volleyball environment built on Unity ML-Agents
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.
Train environment model for RL based agent in browser-based multiplayer battle royale game «surviv.io»
Matching python environment code for Lux AI 2021 Kaggle competition, and a gym interface for RL models.
Texas holdem OpenAi gym poker environment with reinforcement learning based on keras-rl. Includes virtual rendering and montecarlo for equity calculation.
RL projects including implementation of DQN/DDPG/MADDPG/BicNet on StarCraft II multi-agent learning environment SMAC
OpenAI Gym environment designed for training RL agents to control the flight of a two-dimensional drone.
Provides functionality that helps writing PHP code that has runtime-specific execution paths
翻译 - 提供有助于编写具有运行时特定（PHP / HHVM）执行路径的PHP代码的功能
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
Tonic RL library
翻译 - 补品RL库
RL research on Android devices.