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openai/retroArchived

0
View on GitHub↗
3,585 stars·536 forks·C·MIT·16 views

Retro

Retro Games in Gym

Features

  • Game AI Environments - Enables reinforcement learning across classic console game libraries.
  • Reinforcement Learning - Toolkit for using classic video games as reinforcement learning environments.

Star history

Star history chart for openai/retroStar history chart for openai/retro

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Open-source alternatives to Retro

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  • mwydmuch/vizdoommwydmuch avatar

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

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    Mindcraft is a framework for connecting large language models to game clients to create autonomous characters that communicate and perform actions within a simulated environment. It functions as an orchestrator for bots, utilizing a system that bridges high-level AI instructions with low-level game protocol packets to enable the execution of in-game tasks. The system uses retrieval-augmented generation to select relevant conversation history and code examples via embedding-based context retrieval. It supports the development of specific AI personas through profile configurations and facilitat

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    FinRL is a reinforcement learning framework designed for the development, training, and backtesting of automated trading strategies. It functions as a quantitative finance toolkit that integrates deep learning algorithms with financial market simulations to address complex portfolio management and asset allocation tasks. The platform provides an end-to-end pipeline for transforming raw market data into actionable trading models. The project distinguishes itself through a layered, modular architecture that separates data processing, environment simulation, and agent training. This design allow

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See all 30 alternatives to Retro→

Frequently asked questions

What does openai/retro do?

Retro Games in Gym

What are the main features of openai/retro?

The main features of openai/retro are: Game AI Environments, Reinforcement Learning.

What are some open-source alternatives to openai/retro?

Open-source alternatives to openai/retro include: mwydmuch/vizdoom — Reinforcement Learning environments based on the 1993 game Doom :godmode:. mindcraft-bots/mindcraft — Mindcraft is a framework for connecting large language models to game clients to create autonomous characters that… ai4finance-foundation/finrl — FinRL is a reinforcement learning framework designed for the development, training, and backtesting of automated… airlab-polimi/mushroom. alessiodm/drl-zh — Welcome to drlzh.ai: a hands-on deep reinforcement learning course where you build the algorithms, not just read about… aikorea/awesome-rl — Reinforcement learning resources curated.