Learning Deep Control Policies for Autonomous Aerial Vehicles with
MPC-Guided Policy Search

Learning Deep Control Policies for Autonomous Aerial Vehicles with MPC-Guided Policy Search

22 September 2015

Pieter Abbeel

Papers citing "Learning Deep Control Policies for Autonomous Aerial Vehicles with MPC-Guided Policy Search"

8 / 58 papers shown

Title
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task Stephen James Andrew J. Davison Edward Johns 162 275 0 07 Jul 2017
Toward Low-Flying Autonomous MAV Trail Navigation using Deep Neural Networks for Environmental Awareness Nikolai Smolyanskiy A. Kamenev Jeffrey Smith Stan Birchfield 44 222 0 07 May 2017
Learning to Fly by Crashing Dhiraj Gandhi Lerrel Pinto Abhinav Gupta SSL 36 276 0 19 Apr 2017
Socially Aware Motion Planning with Deep Reinforcement Learning Yu Fan Chen Michael Everett Miao Liu Jonathan P. How 40 675 0 26 Mar 2017
How hard is it to cross the room? -- Training (Recurrent) Neural Networks to steer a UAV Klaas Kelchtermans Tinne Tuytelaars 32 34 0 24 Feb 2017
Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks Vahid Behzadan Arslan Munir AAML SILM 23 274 0 16 Jan 2017
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning Yu Fan Chen Miao Liu Michael Everett Jonathan P. How 191 583 0 26 Sep 2016
PLATO: Policy Learning using Adaptive Trajectory Optimization G. Kahn Tianhao Zhang Sergey Levine Pieter Abbeel 32 136 0 02 Mar 2016