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Reinforcement Learning environments based on the 1993 game Doom :godmode:
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
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
Retro Games in Gym
The main features of openai/retro are: Game AI Environments, Reinforcement Learning.
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.