Temporal Abstraction in Reinforcement Learning with the Successor
Representation

Temporal Abstraction in Reinforcement Learning with the Successor Representation

12 October 2021

Marlos C. Machado

Michael Bowling

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

11 / 11 papers shown

Title
Constructing an Optimal Behavior Basis for the Option Keyboard L. N. Alegre A. Bazzan André Barreto Bruno C. da Silva 26 0 0 01 May 2025
Increasing Information for Model Predictive Control with Semi-Markov Decision Processes Rémy Hosseinkhan Boucher Onofrio Semeraro L. Mathelin 48 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 Wu 189 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 58 1 0 21 Aug 2024
Cross-Domain Policy Adaptation by Capturing Representation Mismatch Jiafei Lyu Chenjia Bai Jingwen Yang Zongqing Lu Xiu Li 30 8 0 24 May 2024
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization Tianying Ji Yongyuan Liang Yan Zeng Yu-Juan Luo Guowei Xu Jiawei Guo Ruijie Zheng Furong Huang Gang Hua Huazhe Xu CML 50 11 0 22 Feb 2024
Proper Laplacian Representation Learning Diego Gomez Michael Bowling Marlos C. Machado 26 0 0 16 Oct 2023
Deep Laplacian-based Options for Temporally-Extended Exploration Martin Klissarov Marlos C. Machado OffRL 16 19 0 26 Jan 2023
Reachability-Aware Laplacian Representation in Reinforcement Learning Kaixin Wang Kuangqi Zhou Jiashi Feng Bryan Hooi Xinchao Wang 31 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 47 19 0 12 Jul 2021