Aug 30, 2023 · DATT builds on a novel feedforward-feedback-adaptive control structure trained in simulation using reinforcement learning. When deployed on real hardware, DATT is augmented with a disturbance estimator using $\mathcal{L}_1$ adaptive control …

Under review as a conference paper at ICLR 2024 FARZI DATA: AUTOREGRESSIVE DATA DISTILLATION Anonymous authors Paper under double-blind review

Research paper on deep adaptive trajectory tracking for quadrotor control using reinforcement learning and disturbance estimation.

Published as a conference paper at ICLR 2021 RETHINKING ATTENTION WITH PERFORMERS Krzysztof Choromanski 1, Valerii Likhosherstov 2, David Dohan , Xingyou Song 1