In this work, we present Diverse Ensembles for Fast Transfer in RL (DEFT), a new ensemble-based method for reinforcement learning in highly multimodal environments and improved transfer to unseen environments.
Using an overhead camera to collect data from a physical scale garden testbed, the autonomous system utilizes a learned Plant Phenotyping convolutional neural network and a Bounding Disk Tracking algorithm to evaluate the individual plant distribution and estimate the state of the garden each day.
1 code implementation • 11 Nov 2021 • Mark Presten, Yahav Avigal, Mark Theis, Satvik Sharma, Rishi Parikh, Shrey Aeron, Sandeep Mukherjee, Sebastian Oehme, Simeon Adebola, Walter Teitelbaum, Varun Kamat, Ken Goldberg
This paper presents AlphaGarden: an autonomous polyculture garden that prunes and irrigates living plants in a 1. 5m x 3. 0m physical testbed.