CORDIS Project
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This project develops innovative algorithms and theories for learning in complex environments by integrating reinforcement learning with guidance from a teacher. It focuses on creating effective world-model representations to enhance control policies in applications like fighter jet and network operating center simulat…
We propose a new paradigm for learning in complex high-dimensions dynamic environments.
Our goal is to develop algorithms, theory, and applications that use plurality of learning approaches and models in a synergetic way.
Our paradigm considers the task of learning a control policy by combining trial and error in the style of reinforcement learning with learning from a competent teacher whose interaction with the environment can be observed.
Instead of using the teacher for imitation, our paradi…
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