ai-traineree

by laszukdawid · Agent Tool · ★ 25

About ai-traineree

ai-traineree The intention is to have a zoo of Deep Reinforcment Learning methods and showcasing their application on some environments. Read more in the doc: ReadTheDocs AI-Traineree. Why another Deep Reinforcement Learning framework? The main reason is the implemention philosophy. We strongly believe that agents should be emerged in the environment and not the other way round. Majority of the popular implementations pass environment instance to the agent as if the agent was the focus point.

agentsartificial-intelligence-algorithmsddpgdeepdqn-pytorchmulti-agentsppopytorchrainbowreinforcement-learning

Quick Facts

Stars25
Forks6
LanguagePython
CategoryAgent Tool
LicenseApache-2.0
Quality Score74.3418422059419/100
Open Issues2
Last Updated2026-05-08
Created2020-05-28
Platformspython
Est. Tokens~83k

Compatible Skills

These tools work well together with ai-traineree for enhanced workflows:

  • Agent-STAR — semantic(0.51)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)
  • llm-rl-environments-lil-course — semantic(0.41)+complementary+rare_topics+same_lang+similar_pop+shared_platform (64%)
  • SkillZero — semantic(0.44)+complementary+same_lang+similar_pop+shared_platform (60%)
  • llms_tool — semantic(0.27)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)

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Frequently Asked Questions

What is ai-traineree?

ai-traineree is PyTorch agents and tools for (Deep) Reinforcement Learning. It is categorized as a Agent Tool with 25 GitHub stars.

What programming language is ai-traineree written in?

ai-traineree is primarily written in Python. It covers topics such as agents, artificial-intelligence-algorithms, ddpg.

How do I install or use ai-traineree?

You can find installation instructions and usage details in the ai-traineree GitHub repository at github.com/laszukdawid/ai-traineree. The project has 25 stars and 6 forks, indicating an active community.

What license does ai-traineree use?

ai-traineree is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

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