Cover Image

Switching Successor Measures for Hierarchical Zero-shot Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Stojanovic, Stefan, Proutiere, Alexandre
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Shift Before You Learn: Enabling Low-Rank Representations in Reinforcement Learning
by: Dubail, Bastien, et al.
Published: (2025)

Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation
by: Stojanovic, Stefan, et al.
Published: (2024)

Low-Rank Bandits via Tight Two-to-Infinity Singular Subspace Recovery
by: Jedra, Yassir, et al.
Published: (2024)

Model-Free Active Exploration in Reinforcement Learning
by: Russo, Alessio, et al.
Published: (2024)

Adversarial Diffusion for Robust Reinforcement Learning
by: Foffano, Daniele, et al.
Published: (2025)

Adaptive Reinforcement Learning for Unobservable Random Delays
by: Wikman, John, et al.
Published: (2025)

Curvature-Guided LoRA: Steering in the pretrained NTK subspace
by: Zheng, Frédéric, et al.
Published: (2026)

Hierarchical Successor Representation for Robust Transfer
by: Yu, Changmin, et al.
Published: (2026)

Conformal Predictions under Markovian Data
by: Zheng, Frédéric, et al.
Published: (2024)

Advantage-Guided Diffusion for Model-Based Reinforcement Learning
by: Foffano, Daniele, et al.
Published: (2026)

Optimal Centered Active Excitation in Linear System Identification
by: Ito, Kaito, et al.
Published: (2026)

Learning Model Successors
by: Chang, Yingshan, et al.
Published: (2025)

On Universally Optimal Algorithms for A/B Testing
by: Wang, Po-An, et al.
Published: (2023)

Distributional Successor Features Enable Zero-Shot Policy Optimization
by: Zhu, Chuning, et al.
Published: (2024)

Stacked Universal Successor Feature Approximators for Safety in Reinforcement Learning
by: Cannon, Ian, et al.
Published: (2024)

Best Arm Identification with Fixed Budget: A Large Deviation Perspective
by: Wang, Po-An, et al.
Published: (2023)

Near-optimal Rank Adaptive Inference of High Dimensional Matrices
by: Zheng, Frédéric, et al.
Published: (2025)

Learning Successor Features the Simple Way
by: Chua, Raymond, et al.
Published: (2024)

Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning
by: Wang, Changhong, et al.
Published: (2024)

Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
by: Jain, Arnav Kumar, et al.
Published: (2024)

SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning
by: Zhang, Shuai, et al.
Published: (2024)

Hierarchical Active Inference using Successor Representations
by: Rangarajan, Prashant, et al.
Published: (2026)

Minimizing Human Intervention in Online Classification
by: Réveillard, William, et al.
Published: (2025)

Conformal Off-Policy Evaluation in Markov Decision Processes
by: Foffano, Daniele, et al.
Published: (2023)

Soft Forward-Backward Representations for Zero-shot Reinforcement Learning with General Utilities
by: Bagatella, Marco, et al.
Published: (2026)

Zero-shot Model-based Reinforcement Learning using Large Language Models
by: Benechehab, Abdelhakim, et al.
Published: (2024)

Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model
by: Ariu, Kaito, et al.
Published: (2023)

Proto Successor Measure: Representing the Behavior Space of an RL Agent
by: Agarwal, Siddhant, et al.
Published: (2024)

Optimal Clustering from Noisy Binary Feedback
by: Ariu, Kaito, et al.
Published: (2019)

Successor-Predecessor Intrinsic Exploration
by: Yu, Changmin, et al.
Published: (2023)

Plasma Shape Control via Zero-shot Generative Reinforcement Learning
by: Wu, Niannian, et al.
Published: (2025)

Policy Testing in Markov Decision Processes
by: Ariu, Kaito, et al.
Published: (2025)

Full-Gradient Successor Feature Representations
by: Shrirao, Ritish, et al.
Published: (2026)

Near-Optimal Clustering in Mixture of Markov Chains
by: Lee, Junghyun, et al.
Published: (2025)

Hierarchically Robust Zero-shot Vision-language Models
by: Dong, Junhao, et al.
Published: (2026)

Zero-shot Active Learning Using Self Supervised Learning
by: Sinha, Abhishek, et al.
Published: (2024)

Inductive Biases for Zero-shot Systematic Generalization in Language-informed Reinforcement Learning
by: Dijujin, Negin Hashemi, et al.
Published: (2025)

A Distributional Analogue to the Successor Representation
by: Wiltzer, Harley, et al.
Published: (2024)

Which Features are Best for Successor Features?
by: Ollivier, Yann
Published: (2025)

Differentially Private In-context Learning via Sampling Few-shot Mixed with Zero-shot Outputs
by: Flemings, James, et al.
Published: (2025)