Cover Image

Learning telic-controllable state representations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Amir, Nadav, Tiomkin, Stas
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Goals and the Structure of Experience
by: Amir, Nadav, et al.
Published: (2025)

Emergence of Physical Intelligence via Controllable Information Production
by: Shah, Tristan, et al.
Published: (2026)

SuPLE: Robot Learning with Lyapunov Rewards
by: Nguyen, Phu, et al.
Published: (2024)

Decentralized Traffic Flow Optimization Through Intrinsic Motivation
by: Papala, Himaja, et al.
Published: (2025)

Boosting Soft Q-Learning by Bounding
by: Adamczyk, Jacob, et al.
Published: (2024)

EVAL: EigenVector-based Average-reward Learning
by: Adamczyk, Jacob, et al.
Published: (2025)

Bootstrapped Reward Shaping
by: Adamczyk, Jacob, et al.
Published: (2025)

Average-Reward Soft Actor-Critic
by: Adamczyk, Jacob, et al.
Published: (2025)

Multi-Agent Empowerment and Emergence of Complex Behavior in Groups
by: Shah, Tristan, et al.
Published: (2026)

Acoustic Wave Manipulation Through Sparse Robotic Actuation
by: Shah, Tristan, et al.
Published: (2025)

Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems
by: Lilienthal, Derek, et al.
Published: (2023)

Fourier Sliced-Wasserstein Embedding for Multisets and Measures
by: Amir, Tal, et al.
Published: (2025)

FSW-GNN: A Bi-Lipschitz WL-Equivalent Graph Neural Network
by: Sverdlov, Yonatan, et al.
Published: (2024)

Short-Range Oversquashing
by: Mishayev, Yaaqov, et al.
Published: (2025)

Lecture Notes on Linear Neural Networks: A Tale of Optimization and Generalization in Deep Learning
by: Cohen, Nadav, et al.
Published: (2024)

Inertial Navigation Meets Deep Learning: A Survey of Current Trends and Future Directions
by: Cohen, Nadav, et al.
Published: (2023)

On the Expressive Power of Sparse Geometric MPNNs
by: Sverdlov, Yonatan, et al.
Published: (2024)

PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation
by: Benedek, Nadav, et al.
Published: (2024)

On the (Non) Injectivity of Piecewise Linear Janossy Pooling
by: Reshef, Ilai, et al.
Published: (2025)

Reactor Optimization Benchmark by Reinforcement Learning
by: Schwarcz, Deborah, et al.
Published: (2024)

Adaptive Kalman-Informed Transformer
by: Cohen, Nadav, et al.
Published: (2024)

Seamless Underwater Navigation with Limited Doppler Velocity Log Measurements
by: Cohen, Nadav, et al.
Published: (2024)

Adaptive traffic signal control optimization using a novel road partition and multi-channel state representation method
by: Deng, Maojiang, et al.
Published: (2026)

Polarization by Design: How Elites Could Shape Mass Preferences as AI Reduces Persuasion Costs
by: Kunievsky, Nadav
Published: (2025)

DSF-GAN: DownStream Feedback Generative Adversarial Network
by: Perets, Oriel, et al.
Published: (2024)

Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representations
by: Sverdlov, Yonatan, et al.
Published: (2024)

Data-Driven Strategies for Coping with Incomplete DVL Measurements
by: Cohen, Nadav, et al.
Published: (2024)

Content vs. Form: What Drives the Writing Score Gap Across Socioeconomic Backgrounds? A Generated Panel Approach
by: Kunievsky, Nadav, et al.
Published: (2026)

Gaussian Process Regression for Improved Underwater Navigation
by: Cohen, Nadav, et al.
Published: (2025)

Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States
by: Razin, Noam, et al.
Published: (2024)

DeciMamba: Exploring the Length Extrapolation Potential of Mamba
by: Ben-Kish, Assaf, et al.
Published: (2024)

CPLLM: Clinical Prediction with Large Language Models
by: Shoham, Ofir Ben, et al.
Published: (2023)

Interactive Explanations for Reinforcement-Learning Agents
by: Amitai, Yotam, et al.
Published: (2025)

Causal state binding predicts action control in language agents
by: Jia, Xiao
Published: (2026)

Contextual Plackett-Luce: An Efficient Neural Model for Probabilistic Sequence Selection under Ambiguity
by: Mizrachi, Noam, et al.
Published: (2026)

Monotone and Separable Set Functions: Characterizations and Neural Models
by: Sarangi, Soutrik, et al.
Published: (2025)

Can Community Notes Replace Professional Fact-Checkers?
by: Borenstein, Nadav, et al.
Published: (2025)

When and How to Canonize: A Generalization Perspective
by: Sverdlov, Yonatan, et al.
Published: (2026)

Differential Mamba
by: Schneider, Nadav, et al.
Published: (2025)

Provable Benefits of Complex Parameterizations for Structured State Space Models
by: Ran-Milo, Yuval, et al.
Published: (2024)