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Found 3 papers, 1 papers with code
Discovering Adaptable Symbolic Algorithms from Scratch
We evolve modular policies that tune their model parameters and alter their inference algorithm on-the-fly to adapt to sudden environmental changes.
Evolving Hierarchical Memory-Prediction Machines in Multi-Task Reinforcement Learning
We use genetic programming to evolve highly-generalized agents capable of operating in six unique environments from the control literature, including OpenAI's entire Classic Control suite.
The Factory Must Grow: Automation in Factorio
Efficient optimization of resources is paramount to success in many problems faced today.
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