Robust and Efficient Transfer Learning with Hidden-Parameter Markov Decision Processes

20 June 2017

Finale Doshi-Velez

Papers citing "Robust and Efficient Transfer Learning with Hidden-Parameter Markov Decision Processes"

22 / 22 papers shown

Title
Learning Attentive Neural Processes for Planning with Pushing Actions Atharv Jain Seiji Shaw Nicholas Roy 207 0 0 24 Apr 2025
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies Pingcheng Jian Easop Lee Zachary I. Bell Michael M. Zavlanos Boyuan Chen 97 1 0 03 Jan 2025
Model-based Reinforcement Learning for Parameterized Action Spaces Renhao Zhang Haotian Fu Yilin Miao George Konidaris 31 3 0 03 Apr 2024
Policy Resilience to Environment Poisoning Attacks on Reinforcement Learning Hang Xu Xinghua Qu Zinovi Rabinovich 31 1 0 24 Apr 2023
On the Benefits of Leveraging Structural Information in Planning Over the Learned Model Jiajun Shen K. Kuwaranancharoen R. Ayoub Pietro Mercati S. Sundaram OffRL 24 0 0 15 Mar 2023
Model-based Lifelong Reinforcement Learning with Bayesian Exploration Haotian Fu Shangqun Yu Michael Littman George Konidaris BDL OffRL 26 12 0 20 Oct 2022
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations Cong Lu Philip J. Ball Tim G. J. Rudner Jack Parker-Holder Michael A. Osborne Yee Whye Teh OffRL 32 52 0 09 Jun 2022
Meta-Learning Parameterized Skills Haotian Fu Shangqun Yu Saket Tiwari Michael Littman George Konidaris 38 6 0 07 Jun 2022
Federated Reinforcement Learning with Environment Heterogeneity Hao Jin Yang Peng Wenhao Yang Shusen Wang Zhihua Zhang 62 68 0 06 Apr 2022
Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning Tong Mu Georgios Theocharous David Arbour Emma Brunskill 33 6 0 30 Dec 2021
Compositional Q-learning for electrolyte repletion with imbalanced patient sub-populations Aishwarya Mandyam Andrew Jones Jiayu Yao K. Laudanski Barbara E. Engelhardt OffRL 26 0 0 06 Oct 2021
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning Sumedh Anand Sontakke Arash Mehrjou Laurent Itti Bernhard Schölkopf CML 25 60 0 07 Oct 2020
Learning Robust State Abstractions for Hidden-Parameter Block MDPs Amy Zhang Shagun Sodhani Khimya Khetarpal Joelle Pineau 31 5 0 14 Jul 2020
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs Jianzhun Du Joseph D. Futoma Finale Doshi-Velez 27 49 0 29 Jun 2020
Planning from Images with Deep Latent Gaussian Process Dynamics Nathanael Bosch Jan Achterhold Laura Leal-Taixé J. Stückler 20 1 0 07 May 2020
Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated Priors Rituraj Kaushik Timothée Anne Jean-Baptiste Mouret 30 52 0 10 Mar 2020
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning L. Zintgraf K. Shiarlis Maximilian Igl Sebastian Schulze Y. Gal Katja Hofmann Shimon Whiteson OffRL 11 272 0 18 Oct 2019
Single Episode Policy Transfer in Reinforcement Learning Jiachen Yang Brenden K. Petersen H. Zha Daniel Faissol OOD OffRL 33 33 0 17 Oct 2019
Inferring Personalized Bayesian Embeddings for Learning from Heterogeneous Demonstration Rohan R. Paleja Matthew C. Gombolay 27 7 0 14 Mar 2019
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors S. Ghosh Jiayu Yao Finale Doshi-Velez BDL UQCV 17 77 0 13 Jun 2018
Meta Reinforcement Learning with Latent Variable Gaussian Processes Steindór Sæmundsson Katja Hofmann M. Deisenroth BDL OffRL AI4CE 23 142 0 20 Mar 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015