Truncated Horizon Policy Search: Combining Reinforcement Learning & Imitation Learning

29 May 2018

Papers citing "Truncated Horizon Policy Search: Combining Reinforcement Learning & Imitation Learning"

7 / 57 papers shown

Title
Imitation Learning as $f$ -Divergence Minimization Liyiming Ke Sanjiban Choudhury Matt Barnes Wen Sun Gilwoo Lee S. Srinivasa VLM 16 161 0 30 May 2019
Provably Efficient Imitation Learning from Observation Alone Wen Sun Anirudh Vemula Byron Boots J. Andrew Bagnell 19 105 0 27 May 2019
Guided Meta-Policy Search Russell Mendonca Abhishek Gupta Rosen Kralev Pieter Abbeel Sergey Levine Chelsea Finn 17 57 0 01 Apr 2019
Off-Policy Deep Reinforcement Learning without Exploration Scott Fujimoto D. Meger Doina Precup OffRL BDL 19 1,575 0 07 Dec 2018
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control Kendall Lowrey Aravind Rajeswaran Sham Kakade G. Haro Igor Mordatch OffRL 11 222 0 05 Nov 2018
Deep Imitative Models for Flexible Inference, Planning, and Control Nicholas Rhinehart R. McAllister Sergey Levine 30 148 0 15 Oct 2018
Optimal Completion Distillation for Sequence Learning S. Sabour William Chan Mohammad Norouzi 11 45 0 02 Oct 2018