State Dropout-Based Curriculum Reinforcement Learning for Self-Driving at Unsignalized Intersections

10 July 2022

Papers citing "State Dropout-Based Curriculum Reinforcement Learning for Self-Driving at Unsignalized Intersections"

17 / 17 papers shown

Title
Reward-Driven Automated Curriculum Learning for Interaction-Aware Self-Driving at Unsignalized Intersections Zeng Peng Xiao Zhou Lei Zheng Yubin Wang Jun Ma 205 5 0 20 Mar 2024
Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning Yunlong Song HaoChih Lin Elia Kaufmann P. Duerr Davide Scaramuzza 52 68 0 26 Mar 2021
Transfer Learning in Deep Reinforcement Learning: A Survey Zhuangdi Zhu Kaixiang Lin Anil K. Jain Jiayu Zhou OffRL LRM 110 596 0 16 Sep 2020
Reinforcement Learning with Uncertainty Estimation for Tactical Decision-Making in Intersections C. Hoel Tommy Tram J. Sjöberg 61 30 0 17 Jun 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey Sanmit Narvekar Bei Peng Matteo Leonetti Jivko Sinapov Matthew E. Taylor Peter Stone ODL 244 482 0 10 Mar 2020
Safe Planning for Self-Driving Via Adaptive Constrained ILQR Yanjun Pan Qin Lin Het Shah John M. Dolan 97 25 0 05 Mar 2020
Solving Rubik's Cube with a Robot Hand OpenAI Ilge Akkaya Marcin Andrychowicz Maciek Chociej Ma-teusz Litwin ... Peter Welinder Lilian Weng Qiming Yuan Wojciech Zaremba Lei Zhang ODL 121 1,232 0 16 Oct 2019
Safe Reinforcement Learning on Autonomous Vehicles David Isele A. Nakhaei K. Fujimura 87 78 0 27 Sep 2019
Learning When to Drive in Intersections by Combining Reinforcement Learning and Model Predictive Control Tommy Tram Ivo Batkovic Mohammad Ali J. Sjöberg 47 34 0 01 Aug 2019
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning Kunal Menda Katherine Driggs-Campbell Mykel J. Kochenderfer 174 119 0 22 Jul 2018
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning Michael Everett Yu Fan Chen Jonathan P. How 247 518 0 04 May 2018
End-to-end Driving via Conditional Imitation Learning Felipe Codevilla Matthias Muller Antonio M. López V. Koltun Alexey Dosovitskiy 140 1,069 0 06 Oct 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 571 19,296 0 20 Jul 2017
Navigating Occluded Intersections with Autonomous Vehicles using Deep Reinforcement Learning David Isele Reza Rahimi Akansel Cosgun K. Subramanian K. Fujimura 69 137 0 02 May 2017
Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation L. Tai Giuseppe Paolo Ming-Yuan Liu 90 712 0 01 Mar 2017
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 330 13,289 0 09 Sep 2015
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 259 3,238 0 02 Nov 2010