Temporal Abstraction in Reinforcement Learning with the Successor Representation

12 October 2021

Papers citing "Temporal Abstraction in Reinforcement Learning with the Successor Representation"

9 / 9 papers shown

Title
Constructing an Optimal Behavior Basis for the Option Keyboard L. N. Alegre A. Bazzan André Barreto Bruno C. da Silva 19 0 0 01 May 2025
Increasing Information for Model Predictive Control with Semi-Markov Decision Processes Rémy Hosseinkhan Boucher Onofrio Semeraro L. Mathelin 45 0 0 28 Jan 2025
MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions Yekun Chai Haoran Sun Huang Fang Shuohuan Wang Yu Sun Hua-Hong Wu 123 1 0 03 Oct 2024
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction Anthony GX-Chen Kenneth Marino Rob Fergus OCL 48 1 0 21 Aug 2024
Cross-Domain Policy Adaptation by Capturing Representation Mismatch Jiafei Lyu Chenjia Bai Jingwen Yang Zongqing Lu Xiu Li 26 8 0 24 May 2024
Deep Laplacian-based Options for Temporally-Extended Exploration Martin Klissarov Marlos C. Machado OffRL 14 18 0 26 Jan 2023
Reachability-Aware Laplacian Representation in Reinforcement Learning Kaixin Wang Kuangqi Zhou Jiashi Feng Bryan Hooi Xinchao Wang 21 2 0 24 Oct 2022
Multi-Agent Reinforcement Learning via Adaptive Kalman Temporal Difference and Successor Representation Mohammad Salimibeni Arash Mohammadi Parvin Malekzadeh Konstantinos N. Plataniotis 18 5 0 30 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