Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parametrizations

15 August 2013

Finale Doshi-Velez

Papers citing "Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parametrizations"

30 / 80 papers shown

Title
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning Erdun Gao Fan Feng Chaochao Lu Sara Magliacane Kun Zhang 44 66 0 06 Jul 2021
Meta-Reinforcement Learning by Tracking Task Non-stationarity Riccardo Poiani Andrea Tirinzoni Marcello Restelli OffRL 24 10 0 18 May 2021
Adaptive Adversarial Training for Meta Reinforcement Learning Shiqi Chen Zhengyu Chen Donglin Wang 30 6 0 27 Apr 2021
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment Philip J. Ball Cong Lu Jack Parker-Holder Stephen J. Roberts OffRL 32 41 0 12 Apr 2021
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 54 311 0 25 Dec 2020
Learning Latent Representations to Influence Multi-Agent Interaction Annie Xie Dylan P. Losey R. Tolsma Chelsea Finn Dorsa Sadigh DRL 21 131 0 12 Nov 2020
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
Meta Learning MPC using Finite-Dimensional Gaussian Process Approximations Elena Arcari Andrea Carron Melanie Zeilinger 15 14 0 13 Aug 2020
Learning Robust State Abstractions for Hidden-Parameter Block MDPs Amy Zhang Shagun Sodhani Khimya Khetarpal Joelle Pineau 31 5 0 14 Jul 2020
Sequential Transfer in Reinforcement Learning with a Generative Model Andrea Tirinzoni Riccardo Poiani Marcello Restelli 14 24 0 01 Jul 2020
Deep Reinforcement Learning amidst Lifelong Non-Stationarity Annie Xie James Harrison Chelsea Finn CLL OffRL 35 64 0 18 Jun 2020
Agent Modelling under Partial Observability for Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Stefano V. Albrecht 24 61 0 16 Jun 2020
PAC Bounds for Imitation and Model-based Batch Learning of Contextual Markov Decision Processes Yash Nair Finale Doshi-Velez OffRL 52 2 0 11 Jun 2020
Visual Transfer for Reinforcement Learning via Wasserstein Domain Confusion Josh Roy George Konidaris 14 16 0 04 Jun 2020
Time-Variant Variational Transfer for Value Functions Giuseppe Canonaco Andrea Soprani M. Roveri Marcello Restelli OOD 27 0 0 26 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
Learning a Directional Soft Lane Affordance Model for Road Scenes Using Self-Supervision Robin Karlsson E. Sjoberg SSL 33 3 0 17 Feb 2020
Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trials Christian F. Perez F. Such Theofanis Karaletsos 12 36 0 08 Feb 2020
Fleet Control using Coregionalized Gaussian Process Policy Iteration T. Verstraeten Pieter J. K. Libin Ann Nowé 11 7 0 22 Nov 2019
Dynamic Subgoal-based Exploration via Bayesian Optimization Yijia Wang Matthias Poloczek Daniel R. Jiang 34 3 0 21 Oct 2019
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 16 273 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
Accelerating the Computation of UCB and Related Indices for Reinforcement Learning Wesley Cowan M. Katehakis Daniel Pirutinsky 6 0 0 28 Sep 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables Kate Rakelly Aurick Zhou Deirdre Quillen Chelsea Finn Sergey Levine OffRL 48 649 0 19 Mar 2019
Efficient transfer learning and online adaptation with latent variable models for continuous control Christian F. Perez F. Such Theofanis Karaletsos OffRL 6 14 0 08 Dec 2018
Importance Weighted Transfer of Samples in Reinforcement Learning Andrea Tirinzoni Andrea Sessa Matteo Pirotta Marcello Restelli OffRL 14 47 0 28 May 2018
Meta Reinforcement Learning with Latent Variable Gaussian Processes Steindór Sæmundsson Katja Hofmann M. Deisenroth BDL OffRL AI4CE 25 142 0 20 Mar 2018
Robust and Efficient Transfer Learning with Hidden-Parameter Markov Decision Processes Taylor W. Killian Samuel Daulton George Konidaris Finale Doshi-Velez 14 105 0 20 Jun 2017
Transfer Learning Across Patient Variations with Hidden Parameter Markov Decision Processes Taylor W. Killian George Konidaris Finale Doshi-Velez OOD 16 8 0 01 Dec 2016
POMDP-lite for Robust Robot Planning under Uncertainty Min Chen Emilio Frazzoli David Hsu Wee Sun Lee 4 64 0 16 Feb 2016