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"

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Title
Optimal Interactive Learning on the Job via Facility Location Planning Shivam Vats Michelle Zhao Patrick Callaghan Mingxi Jia Maxim Likhachev Oliver Kroemer George Konidaris 34 0 0 01 May 2025
Learning Attentive Neural Processes for Planning with Pushing Actions Atharv Jain Seiji Shaw Nicholas Roy 210 0 0 24 Apr 2025
Improving Controller Generalization with Dimensionless Markov Decision Processes V. Charvet Sebastian Stein R. Murray-Smith 39 0 0 14 Apr 2025
Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning Zhenghai Xue Lang Feng Jiacheng Xu Kang Kang Xiang Wen Jingyi Wang Shuicheng Yan OffRL 53 0 0 10 Mar 2025
Performance Comparisons of Reinforcement Learning Algorithms for Sequential Experimental Design Yasir Zubayr Barlas Kizito Salako 34 0 0 07 Mar 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
Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data Chengrui Qu Laixi Shi Kishan Panaganti Pengcheng You Adam Wierman OffRL OnRL 38 0 0 06 Nov 2024
Adaptive World Models: Learning Behaviors by Latent Imagination Under Non-Stationarity Emiliyan Gospodinov Vaisakh Shaj P. Becker Stefan Geyer Gerhard Neumann 39 0 0 02 Nov 2024
Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning Minjong Yoo Sangwoo Cho Honguk Woo OffRL 45 10 0 28 Aug 2024
Value of Information and Reward Specification in Active Inference and POMDPs Ran Wei 57 3 0 13 Aug 2024
Amortized Active Causal Induction with Deep Reinforcement Learning Yashas Annadani P. Tigas Stefan Bauer Adam Foster 42 0 0 26 May 2024
Offline Reinforcement Learning from Datasets with Structured Non-Stationarity Johannes Ackermann Takayuki Osa Masashi Sugiyama OffRL 42 2 0 23 May 2024
Model-based Reinforcement Learning for Parameterized Action Spaces Renhao Zhang Haotian Fu Yilin Miao George Konidaris 31 3 0 03 Apr 2024
Nesting Particle Filters for Experimental Design in Dynamical Systems Sahel Iqbal Adrien Corenflos Simo Särkkä Hany Abdulsamad 30 2 0 12 Feb 2024
Similarity-based Knowledge Transfer for Cross-Domain Reinforcement Learning Sergio A. Serrano J. Martínez-Carranza L. Sucar 32 2 0 05 Dec 2023
Zero-Shot Goal-Directed Dialogue via RL on Imagined Conversations Joey Hong Sergey Levine Anca Dragan OffRL LLMAG 50 24 0 09 Nov 2023
A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning Ran Wei Nathan Lambert Anthony D. McDonald Alfredo Garcia Roberto Calandra 35 7 0 10 Oct 2023
Policy Stitching: Learning Transferable Robot Policies Pingcheng Jian Easop Lee Zachary I. Bell Michael M. Zavlanos Boyuan Chen OffRL 27 8 0 24 Sep 2023
Life-inspired Interoceptive Artificial Intelligence for Autonomous and Adaptive Agents Sungwoo Lee Younghyun Oh Hyunhoe An Hyebhin Yoon K. Friston Seok Jun Hong Choong-Wan Woo AI4CE 39 1 0 12 Sep 2023
iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning Xiyang Wu Rohan Chandra Tianrui Guan Amrit Singh Bedi Tianyi Zhou 40 4 0 09 Jun 2023
State Regularized Policy Optimization on Data with Dynamics Shift Zhenghai Xue Qingpeng Cai Shuchang Liu Dong Zheng Peng Jiang Kun Gai Bo An OffRL 36 17 0 06 Jun 2023
Statistically Efficient Bayesian Sequential Experiment Design via Reinforcement Learning with Cross-Entropy Estimators Tom Blau Iadine Chadès Amir Dezfouli Daniel M. Steinberg Edwin V. Bonilla 18 1 0 29 May 2023
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 27 0 0 15 Mar 2023
Off-Policy Evaluation for Action-Dependent Non-Stationary Environments Yash Chandak Shiv Shankar Nathaniel D. Bastian Bruno Castro da Silva Emma Brunskil Philip S. Thomas OffRL 52 6 0 24 Jan 2023
Task-Directed Exploration in Continuous POMDPs for Robotic Manipulation of Articulated Objects Aidan Curtis L. Kaelbling Siddarth Jain 41 9 0 08 Dec 2022
Learning and Understanding a Disentangled Feature Representation for Hidden Parameters in Reinforcement Learning Christopher P. Reale Rebecca L. Russell 22 1 0 29 Nov 2022
Differentiable User Models Alex Hamalainen Mustafa Mert cCelikok Samuel Kaski 26 1 0 29 Nov 2022
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables Mengdi Xu Peide Huang Yaru Niu Visak C. V. Kumar Jielin Qiu ... Kuan-Hui Lee Xuewei Qi Henry Lam Bo-wen Li Ding Zhao OOD 74 9 0 21 Oct 2022
Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes Runlong Zhou Ruosong Wang S. Du 31 3 0 20 Oct 2022
Model-based Lifelong Reinforcement Learning with Bayesian Exploration Haotian Fu Shangqun Yu Michael Littman George Konidaris BDL OffRL 26 12 0 20 Oct 2022
The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning Vindula Jayawardana Catherine Tang Sirui Li Da Suo Cathy Wu OffRL 22 13 0 16 Oct 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning Guozheng Ma Zhen Wang Zhecheng Yuan Xueqian Wang Bo Yuan Dacheng Tao OffRL 45 27 0 10 Oct 2022
Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning Dianbo Liu Vedant Shah Oussama Boussif Cristian Meo Anirudh Goyal Tianmin Shu Michael C. Mozer N. Heess Yoshua Bengio 32 7 0 04 Oct 2022
Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios Vaisakh Shaj Le Chen Rohit Sonker P. Becker Gerhard Neumann 40 8 0 29 Jun 2022
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning J. Guo Biwei Huang Dacheng Tao 15 20 0 09 Jun 2022
Meta-Learning Parameterized Skills Haotian Fu Shangqun Yu Saket Tiwari Michael Littman George Konidaris 38 6 0 07 Jun 2022
Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges Massimo Caccia Jonas W. Mueller Taesup Kim Laurent Charlin Rasool Fakoor CLL 37 8 0 28 May 2022
Efficient Bayesian Policy Reuse with a Scalable Observation Model in Deep Reinforcement Learning Donghan Xie Zhi Wang Chunlin Chen D. Dong OffRL 19 2 0 16 Apr 2022
Federated Reinforcement Learning with Environment Heterogeneity Hao Jin Yang Peng Wenhao Yang Shusen Wang Zhihua Zhang 62 68 0 06 Apr 2022
RILI: Robustly Influencing Latent Intent Sagar Parekh Soheil Habibian Dylan P. Losey 42 13 0 23 Mar 2022
All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL Kai Arulkumaran Dylan R. Ashley Jürgen Schmidhuber R. Srivastava OffRL 21 6 0 24 Feb 2022
Reinforcement Learning in Presence of Discrete Markovian Context Evolution Hang Ren Aivar Sootla Taher Jafferjee Junxiao Shen Jun Wang Haitham Bou-Ammar BDL OffRL 35 9 0 14 Feb 2022
Contextualize Me -- The Case for Context in Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert Aditya Mohan Sebastian Dohler André Biedenkapp Bodo Rosenhahn Frank Hutter Marius Lindauer OffRL 43 29 0 09 Feb 2022
Optimizing Sequential Experimental Design with Deep Reinforcement Learning Tom Blau Edwin V. Bonilla Iadine Chadès Amir Dezfouli BDL OffRL 27 37 0 02 Feb 2022
PantheonRL: A MARL Library for Dynamic Training Interactions Bidipta Sarkar Aditi Talati Andy Shih Dorsa Sadigh 24 16 0 13 Dec 2021
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning Robert Kirk Amy Zhang Edward Grefenstette Tim Rocktaschel OffRL 17 157 0 18 Nov 2021
Block Contextual MDPs for Continual Learning Shagun Sodhani Franziska Meier Joelle Pineau Amy Zhang CLL 41 26 0 13 Oct 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
Influencing Towards Stable Multi-Agent Interactions Woodrow Z. Wang Andy Shih Annie Xie Dorsa Sadigh 46 34 0 05 Oct 2021