The Laplacian in RL: Learning Representations with Efficient Approximations

10 October 2018

Papers citing "The Laplacian in RL: Learning Representations with Efficient Approximations"

20 / 20 papers shown

Title
Provable Representation with Efficient Planning for Partial Observable Reinforcement Learning Hongming Zhang Tongzheng Ren Chenjun Xiao Dale Schuurmans Bo Dai 45 3 0 20 Nov 2023
Iteratively Learn Diverse Strategies with State Distance Information Wei Fu Weihua Du Jingwei Li Sunli Chen Jingzhao Zhang Yi Wu 51 3 0 23 Oct 2023
Proper Laplacian Representation Learning Diego Gomez Michael Bowling Marlos C. Machado 26 0 0 16 Oct 2023
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning Parvin Malekzadeh Ming Hou Konstantinos N. Plataniotis 51 1 0 16 Oct 2023
Zero-Shot Reinforcement Learning from Low Quality Data Scott Jeen Tom Bewley Jonathan M. Cullen OffRL OnRL 38 1 0 26 Sep 2023
Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning Hongyu Ding Yuan-Yan Tang Qing Wu Bo Wang Chunlin Chen Zhi Wang 37 4 0 16 Jul 2023
Deep Laplacian-based Options for Temporally-Extended Exploration Martin Klissarov Marlos C. Machado OffRL 16 19 0 26 Jan 2023
On the Geometry of Reinforcement Learning in Continuous State and Action Spaces Saket Tiwari Omer Gottesman George Konidaris 26 0 0 29 Dec 2022
Reachability-Aware Laplacian Representation in Reinforcement Learning Kaixin Wang Kuangqi Zhou Jiashi Feng Bryan Hooi Xinchao Wang 31 2 0 24 Oct 2022
Does Zero-Shot Reinforcement Learning Exist? Ahmed Touati Jérémy Rapin Yann Ollivier OffRL 42 39 0 29 Sep 2022
Spectral Decomposition Representation for Reinforcement Learning Tongzheng Ren Tianjun Zhang Lisa Lee Joseph E. Gonzalez Dale Schuurmans Bo Dai OffRL 40 27 0 19 Aug 2022
Making Linear MDPs Practical via Contrastive Representation Learning Tianjun Zhang Tongzheng Ren Mengjiao Yang Joseph E. Gonzalez Dale Schuurmans Bo Dai 25 44 0 14 Jul 2022
A Tutorial on the Spectral Theory of Markov Chains E. Seabrook Laurenz Wiskott 30 16 0 05 Jul 2022
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer Jeewon Jeon Woojun Kim Whiyoung Jung Young-Jin Sung 29 35 0 20 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 37 140 0 15 Jun 2022
Zipfian environments for Reinforcement Learning Stephanie C. Y. Chan Andrew Kyle Lampinen Pierre Harvey Richemond Felix Hill OffRL 15 15 0 15 Mar 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions Minghuan Liu Menghui Zhu Weinan Zhang 35 132 0 20 Jan 2022
A Free Lunch from the Noise: Provable and Practical Exploration for Representation Learning Tongzheng Ren Tianjun Zhang Csaba Szepesvári Bo Dai 27 19 0 22 Nov 2021
DROP: Deep relocating option policy for optimal ride-hailing vehicle repositioning Xinwu Qian Shuocheng Guo Vaneet Aggarwal 21 20 0 09 Sep 2021
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 32 285 0 12 Jun 2019