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π Iβm currently looking into online planning with Monte-Carlo tree search to potentially apply to multi-agent control.
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π― Iβve also worked on training an octopus arm to throw balls using imitation learning and multi-arm coordination using hierarchical reinforcement learning
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π I speed up soft arm control with model-based unsupervied learning
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π« I build and contribute to open-source softwares like gym-softrobot, Control Oriented Octopus Muscle Model, and interactive learning materials on numerical methods
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π¨βπ» All of my projects are available at https://chshih2.github.io/
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π¬ I'm interested in integrating ML algorithms to aid solving complex problems
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π« How to reach me [email protected]
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π Know about my experiences https://uofi.box.com/s/0cn37qdvcdnpkqw6p4tbld58azn95mxm
Embodied AI, Deep Reinforcement Learning, Multi-Agent Learning, Soft Robotics
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Control-of-an-soft-arm-with-dynamic-primitives
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