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Researchers have introduced OMNI-EPIC, an AI-generating algorithm that autonomously defines new tasks to challenge a reinforcement learning agent by producing Python code. The project focuses on open-ended learning environments that adapt to the agent's progress using large language models to write environment physics and reward functions.
Cool work to generate open-ended learning environments that adapt to the agent's learning progress using LLM to write the env physics+reward function, extending OMNI to much bigger environment search space 🌌 https://t.co/UigHlqSqCR
I am so happy to share what we have been working on for a while with @maxencefaldor @jennyzhangzt and @jeffclune! This is OMNI-EPIC, an AI-generating algorithm that autonomously defines new and interesting tasks to challenge an RL agent by directly producing Python code. https://t.co/S4lozJ7rnD
OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code Faldor et al.: https://t.co/Cb6RZO1kNJ #Artificialintelligence #DeepLearning #MachineLearning https://t.co/ZWmgXYVvdp
