Combining RL and IL using a dynamic, performance-based modulation over
learning signals and its application to local planning

Combining RL and IL using a dynamic, performance-based modulation over learning signals and its application to local planning

16 May 2024

Francisco Leiva

Javier Ruiz-del-Solar

Papers citing "Combining RL and IL using a dynamic, performance-based modulation over learning signals and its application to local planning"

8 / 8 papers shown

Title
IPAPRec: A promising tool for learning high-performance mapless navigation skills with deep reinforcement learning Wei Zhang Yunfeng Zhang Ning Liu Kai Ren Pengfei Wang 16 16 0 22 Mar 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 94 524 0 04 Feb 2021
Learn to Navigate Maplessly with Varied LiDAR Configurations: A Support Point-Based Approach Wei Zhang Ning Liu Yunfeng Zhang 3DPC 34 20 0 20 Oct 2020
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey Wenshuai Zhao Jorge Peña Queralta Tomi Westerlund OffRL 36 724 0 24 Sep 2020
Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning Linhai Xie Sen Wang Stefano Rosa Andrew Markham A. Trigoni OffRL 35 80 0 12 Dec 2018
Interactive Learning with Corrective Feedback for Policies based on Deep Neural Networks Rodrigo Pérez-Dattari C. Celemin Javier Ruiz-del-Solar Jens Kober 10 19 0 30 Sep 2018
Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation L. Tai Giuseppe Paolo Ming-Yuan Liu 37 706 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 97 13,174 0 09 Sep 2015