Deep Laplacian-based Options for Temporally-Extended Exploration

26 January 2023

Papers citing "Deep Laplacian-based Options for Temporally-Extended Exploration"

21 / 21 papers shown

Title
Episodic Novelty Through Temporal Distance Y. Jiang Qihan Liu Yiqin Yang Xiaoteng Ma Dianyu Zhong ... Jun Yang Bin Liang Bo Xu Chongjie Zhang Qianchuan Zhao OffRL 28 0 0 28 Jan 2025
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions Zizhao Wang Jiaheng Hu Caleb Chuck Stephen Chen Roberto Martin-Martin Amy Zhang S. Niekum Peter Stone OffRL 48 0 0 24 Oct 2024
Unveiling Options with Neural Decomposition Mahdi Alikhasi Levi H. S. Lelis 21 0 0 15 Oct 2024
Beyond Optimism: Exploration With Partially Observable Rewards Simone Parisi Alireza Kazemipour Michael H. Bowling OffRL 27 0 0 20 Jun 2024
Open Problem: Active Representation Learning Nikola Milosevic Gesine Müller Jan Huisken Nico Scherf 21 1 0 06 Jun 2024
On the Sample Efficiency of Abstractions and Potential-Based Reward Shaping in Reinforcement Learning Giuseppe Canonaco Leo Ardon Alberto Pozanco Daniel Borrajo OffRL 16 1 0 11 Apr 2024
Foundation Policies with Hilbert Representations Seohong Park Tobias Kreiman Sergey Levine SSL OffRL 36 18 0 23 Feb 2024
Memory, Space, and Planning: Multiscale Predictive Representations Ida Momennejad 20 2 0 16 Jan 2024
Rethinking Decision Transformer via Hierarchical Reinforcement Learning Yi-An Ma Chenjun Xiao Hebin Liang Jianye Hao OffRL 11 3 0 01 Nov 2023
CQM: Curriculum Reinforcement Learning with a Quantized World Model Seungjae Lee Daesol Cho Jonghae Park H. J. Kim 13 6 0 26 Oct 2023
Proper Laplacian Representation Learning Diego Gomez Michael H. Bowling Marlos C. Machado 8 0 0 16 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction Seohong Park Oleh Rybkin Sergey Levine OffRL 20 33 0 13 Oct 2023
Iterative Option Discovery for Planning, by Planning Kenny Young Richard S. Sutton 19 2 0 02 Oct 2023
Motif: Intrinsic Motivation from Artificial Intelligence Feedback Martin Klissarov P. DÓro Shagun Sodhani Roberta Raileanu Pierre-Luc Bacon Pascal Vincent Amy Zhang Mikael Henaff LRM LLMAG 16 54 0 29 Sep 2023
Diversifying AI: Towards Creative Chess with AlphaZero Tom Zahavy Vivek Veeriah Shaobo Hou Kevin Waugh Matthew Lai Edouard Leurent Nenad Tomašev Lisa Schut Demis Hassabis Satinder Singh 21 15 0 17 Aug 2023
Neural Eigenfunctions Are Structured Representation Learners Zhijie Deng Jiaxin Shi Hao Zhang Peng Cui Cewu Lu Jun Zhu 39 14 0 23 Oct 2022
Lipschitz-constrained Unsupervised Skill Discovery Seohong Park Jongwook Choi Jaekyeom Kim Honglak Lee Gunhee Kim 41 43 0 02 Feb 2022
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery Michael Laskin Hao Liu Xue Bin Peng Denis Yarats Aravind Rajeswaran Pieter Abbeel SSL 74 65 0 01 Feb 2022
Flexible Option Learning Martin Klissarov Doina Precup OffRL 34 26 0 06 Dec 2021
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing Kaixin Wang Kuangqi Zhou Qixin Zhang Jie Shao Bryan Hooi Jiashi Feng 42 19 0 12 Jul 2021
Spectral Inference Networks: Unifying Deep and Spectral Learning David Pfau Stig Petersen Ashish Agarwal David Barrett Kimberly L. Stachenfeld 49 40 0 06 Jun 2018