Environmentalism, Natural environment, Learning, Reinforcement learning, Machine learning, Algorithm
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
RT @kenneth0stanley: In case you didn’t have time for our arxiv paper on Enhanced POET, a quicker blog post with videos and pictures was just released. See enhancements like domain-general environmental diversity metrics and a new open-ended progress measure: https://t.co/F4i1AajVf2 1/ https://t.co/n1yAREXvUb
OpenBuilding upon our existing open-ended learning research, Uber AI released Enhanced POET, a project that incorporates an improved algorithm and allows for more diverse training environments.
RT @kenneth0stanley: In case you didn’t have time for our arxiv paper on Enhanced POET, a quicker blog post with videos and pictures was just released. See enhancements like domain-general environmental diversity metrics and a new open-ended progress measure: https://t.co/F4i1AajVf2 1/ https://t.co/n1yAREXvUb
OpenEnhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
Building upon our existing open-ended learning research, Uber AI released Enhanced POET, a project that incorporates an improved algorithm and allows for more diverse training environments.
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POET: Endlessly Generating Increasingly Complex and Diverse Learning Environments and their Solutions through the Paired Open-Ended Trailblazer
Uber AI Labs introduces the Paired Open-Ended Trailblazer (POET), an algorithm that leverages open-endedness to push the bounds of machine learning.
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Furthermore, the environments are easily modified, enabling numerous diverse obstacle courses to emerge to showcase 7 Algorithm 2 POET Main Loop 1: Input: initial environment Einit(·), its ...
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D. Ha Reinforcement Learning for Improving Agent Design Artificial Life Volume 25, Number 4 353 works further investigated morphology evolution [4, 8, 9, 11, 37, 44, 64, 65, 70], modular ...
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