Learning without Knowing: Unobserved Context in Continuous Transfer
Reinforcement Learning

Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning

7 June 2021

Michael M. Zavlanos

Papers citing "Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning"

18 / 18 papers shown

Title
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies Pingcheng Jian Easop Lee Zachary I. Bell Michael M. Zavlanos Boyuan Chen 128 1 0 03 Jan 2025
Causal Imitation Learning with Unobserved Confounders Junzhe Zhang D. Kumor Elias Bareinboim CML 44 72 0 12 Aug 2022
Human-in-the-Loop Robot Planning with Non-Contextual Bandit Feedback Yijie Zhou Yan Zhang Xusheng Luo Michael M. Zavlanos 14 5 0 03 Nov 2020
Transfer Reinforcement Learning under Unobserved Contextual Information Yan Zhang Michael M. Zavlanos OffRL 22 6 0 09 Mar 2020
Causal Transfer for Imitation Learning and Decision Making under Sensor-shift Jalal Etesami Philipp Geiger OffRL 30 15 0 02 Mar 2020
A Divergence Minimization Perspective on Imitation Learning Methods Seyed Kamyar Seyed Ghasemipour R. Zemel S. Gu 28 248 0 06 Nov 2019
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables Lantao Yu Tianhe Yu Chelsea Finn Stefano Ermon OffRL BDL 31 72 0 20 Sep 2019
Efficient Exploration via State Marginal Matching Lisa Lee Benjamin Eysenbach Emilio Parisotto Eric Xing Sergey Levine Ruslan Salakhutdinov 94 242 0 12 Jun 2019
Unity: A General Platform for Intelligent Agents Arthur Juliani Vincent-Pierre Berges Esh Vckay Andrew Cohen Jonathan Harper ... Chris Goy Yuan Gao Hunter Henry Marwan Mattar Danny Lange 61 813 0 07 Sep 2018
Behavioral Cloning from Observation F. Torabi Garrett A. Warnell Peter Stone OffRL 91 715 0 04 May 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 189 18,685 0 20 Jul 2017
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets Karol Hausman Yevgen Chebotar S. Schaal Gaurav Sukhatme Joseph J. Lim GAN 37 147 0 30 May 2017
Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach Aniruddh Raghu Matthieu Komorowski Leo Anthony Celi Peter Szolovits Marzyeh Ghassemi OffRL 28 193 0 23 May 2017
One-Shot Imitation Learning Yan Duan Marcin Andrychowicz Bradly C. Stadie Jonathan Ho Jonas Schneider Ilya Sutskever Pieter Abbeel Wojciech Zaremba OffRL 51 684 0 21 Mar 2017
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning Yuke Zhu Roozbeh Mottaghi Eric Kolve Joseph J. Lim Abhinav Gupta Li Fei-Fei Ali Farhadi VGen 47 1,516 0 16 Sep 2016
Successor Features for Transfer in Reinforcement Learning André Barreto Will Dabney Rémi Munos Jonathan J. Hunt Tom Schaul H. V. Hasselt David Silver 30 566 0 16 Jun 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 100 3,084 0 10 Jun 2016
Contextual Markov Decision Processes Assaf Hallak Dotan Di Castro Shie Mannor 49 243 0 08 Feb 2015