Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step
Inverse Models

Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models

17 July 2022

Yonathan Efroni

Aniket Didolkar

Dipendra Kumar Misra

Dylan J. Foster

A. Krishnamurthy

Papers citing "Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models"

19 / 19 papers shown

Title
Adapting a World Model for Trajectory Following in a 3D Game Marko Tot Shu Ishida Abdelhak Lemkhenter David Bignell Pallavi Choudhury ... Tarun Gupta Darren Gehring Sam Devlin Sergio Valcarcel Macua Raluca Georgescu 41 0 0 16 Apr 2025
Offline Action-Free Learning of Ex-BMDPs by Comparing Diverse Datasets Alexander Levine Peter Stone Amy Zhang OffRL 44 0 0 26 Mar 2025
Learning Fused State Representations for Control from Multi-View Observations Zeyu Wang Yao Li Xin Li Hongyu Zang Romain Laroche Riashat Islam OffRL 51 0 0 03 Feb 2025
Policy-shaped prediction: avoiding distractions in model-based reinforcement learning Miles Hutson Isaac Kauvar Nick Haber 59 0 0 08 Dec 2024
Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory Alexander Levine Peter Stone Amy Zhang OffRL 29 0 0 03 Oct 2024
DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors Joseph Ortiz Antoine Dedieu Wolfgang Lehrach Swaroop Guntupalli Carter Wendelken Ahmad Humayun Guangyao Zhou Sivaramakrishnan Swaminathan Miguel Lázaro-Gredilla Kevin P. Murphy OffRL 44 1 0 26 Sep 2024
Learning Abstract World Model for Value-preserving Planning with Options Rafael Rodríguez-Sánchez G. Konidaris 22 1 0 22 Jun 2024
Learning Latent Dynamic Robust Representations for World Models Ruixiang Sun Hongyu Zang Xin-hui Li Riashat Islam 27 4 0 10 May 2024
Generalizing Multi-Step Inverse Models for Representation Learning to Finite-Memory POMDPs Lili Wu Ben Evans Riashat Islam Raihan Seraj Yonathan Efroni Alex Lamb 39 1 0 22 Apr 2024
Learning Action-based Representations Using Invariance Max Rudolph Caleb Chuck Kevin Black Misha Lvovsky S. Niekum Amy Zhang 28 0 0 25 Mar 2024
Multistep Inverse Is Not All You Need Alexander Levine Peter Stone Amy Zhang AI4CE 24 4 0 18 Mar 2024
Foundation Policies with Hilbert Representations Seohong Park Tobias Kreiman Sergey Levine SSL OffRL 42 18 0 23 Feb 2024
Reward-Relevance-Filtered Linear Offline Reinforcement Learning Angela Zhou OffRL 22 3 0 23 Jan 2024
Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments Antoine Dedieu Wolfgang Lehrach Guangyao Zhou Dileep George Miguel Lazaro-Gredilla 32 2 0 11 Jan 2024
Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning Jiachen Li Qiaozi Gao Michael Johnston Xiaofeng Gao Xuehai He Suhaila Shakiah Hangjie Shi R. Ghanadan William Yang Wang LM&Ro 19 12 0 14 Oct 2023
Guide Your Agent with Adaptive Multimodal Rewards Changyeon Kim Younggyo Seo Hao Liu Lisa Lee Jinwoo Shin Honglak Lee Kimin Lee 16 9 0 19 Sep 2023
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning Ruijie Zheng Xiyao Wang Yanchao Sun Shuang Ma Jieyu Zhao Huazhe Xu Hal Daumé Furong Huang 43 35 0 22 Jun 2023
Fast exploration and learning of latent graphs with aliased observations Miguel Lazaro-Gredilla Ishani Deshpande Siva K. Swaminathan Meet Dave Dileep George 15 3 0 13 Mar 2023
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 239 2,592 0 04 May 2021