Popular GitHub Repositories for Ephemeral Environments

ComfyUI docker images for use in GPU cloud and local environments. Includes AI-Dock base for authentication and improved user experience.

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Open source data anonymization and synthetic data platform for developers. Anonymize your production data and sync it across your environments so that developers can safely use it.

Simplifying reinforcement learning for complex game environments

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

Few-shot image translation method working on unstructured environments. ECCV 2022

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

Reinforcement Learning environments based on the 1993 game Doom :godmode:

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

A user-friendly, multi-platform GUI for managing and running CrewAI agents and tasks. Supports Conda and virtual environments, no coding needed.

Reinforcement learning environments with musculoskeletal models

Gibson Environments: Real-World Perception for Embodied Agents