Interpretable Autonomous Flight Via Compact Visualizable Neural Circuit Policies
Main Authors: | Tylkin, Paul, Wang, Tsun-Hsuan, Palko, Kyle, Allen, Ross, Siu, Ho Chit, Wrafter, Daniel, Seyde, Tim, Amini, Alexander, Rus, Daniela |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2023
|
Online Access: | https://hdl.handle.net/1721.1/148379 |
Similar Items
-
Autonomous Flight Arcade: Reinforcement Learning for End-to-End Control of Fixed-Wing Aircraft
by: Wrafter, Daniel
Published: (2022) -
Learning to Plan via Deep Optimistic Value Exploration
by: Seyde, Tim, et al.
Published: (2020) -
Variational Autoencoder for End-to-End Control of Autonomous Driving with Novelty Detection and Training De-biasing
by: Amini, Alexander, et al.
Published: (2018) -
Efficient Learning Control via Structural Policy Priors, Latent World Models and Hierarchical Abstraction
by: Seyde, Tim N.
Published: (2024) -
Learning Steering Bounds for Parallel Autonomous Systems
by: Amini, Alexander A, et al.
Published: (2018)