Awesome Information Theory

Behavior Synthesis via Contact-Aware Fisher Information Maximization (2025)

Hrishikesh Sathyanarayan et al.

3.04

Remote Action Generation: Remote Control with Minimal Communication (2026)

Szymon Kobus and Deniz G\"und\"uz

1.83

Learning the Channel Gain from Anywhere to Anywhere via Cross-environment Transformer Estimators (2026)

Prasenjit Dhara and Daniel Romero

1.83

Learning What Matters: Adaptive Information-Theoretic Objectives for Robot Exploration (2026)

Youwei Yu et al.

1.83

Domain-Adaptive Communication-Rate Optimization for Sim-to-Real Humanoid-Robot Wireless XR Teleoperation (2026)

Caolu Xu et al.

1.83

Memory Centric Power Allocation for Multi-Agent Embodied Question Answering (2026)

Chengyang Li et al.

1.78

Multi-Periodogram Velocity Estimation with Irregular Reference Signals for Robot-Aided ISAC (2026)

Yi Geng et al.

1.78

Formal Entropy-Regularized Control of Stochastic Systems (2026)

Menno van Zutphen et al.

1.72

Bandwidth-Efficient Multi-Agent Communication through Information Bottleneck and Vector Quantization (2026)

Ahmad Farooq and Kamran Iqbal

1.67

When Simultaneous Localization and Mapping Meets Wireless Communications: A Survey (2026)

Konstantinos Gounis et al.

1.67

From Snapshot Sensing to Persistent EM World Modeling: A Generative-Space Perspective for ISAC (2026)

Pin-Han Ho et al.

1.67

Visible Light Communication using Led-Based AR Markers for Robot Localization (2026)

Wataru Uemura and Shogo Kawasaki

1.61

Efficient Incremental SLAM via Information-Guided and Selective Optimization (2026)

Reza Arablouei

1.61

Radiance-Field Reinforced Pretraining: Scaling Localization Models with Unlabeled Wireless Signals (2025)

Guosheng Wang et al.

1.56

Large Model Enabled Embodied Intelligence for 6G Integrated Perception, Communication, and Computation Network (2025)

Zhuoran Li et al.

1.56

Dual Control Reference Generation for Optimal Pick-and-Place Execution under Payload Uncertainty (2025)

Victor Vantilborgh et al.

1.44

Dual-Mind World Models: A General Framework for Learning in Dynamic Wireless Networks (2025)

Lingyi Wang et al.

1.44

Vehicle-to-Infrastructure Collaborative Spatial Perception via Multimodal Large Language Models (2025)

Kimia Ehsani et al.

1.39

SCA-LLM: Spectral-Attentive LLM-Based Wireless World Modeling for Agentic Communications (2025)

Ke He et al.

1.39

Communication Efficient Robotic Mixed Reality with Gaussian Splatting Cross-Layer Optimization (2025)

Chenxuan Liu et al.

1.33

A Soft Inducement Framework for Incentive-Aided Steering of No-Regret Players (2025)

Asrin Efe Yorulmaz and Raj Kiriti Velicheti and Melih Bastopcu and Tamer Ba\c{s}ar

1.33

Spatial Language Likelihood Grounding Network for Bayesian Fusion of Human-Robot Observations (2025)

Supawich Sitdhipol et al.

1.28

Sensor Model Identification via Simultaneous Model Selection and State Variable Determination (2025)

Christian Brommer et al.

1.22

Bridging Physical and Digital Worlds: Embodied Large AI for Future Wireless Systems (2025)

Xinquan Wang et al.

1.22

Computational Irreducibility as the Foundation of Agency: A Formal Model Connecting Undecidability to Autonomous Behavior in Complex Systems (2025)

Poria Azadi

1.17

Evaluation of Mobile Environment for Vehicular Visible Light Communication Using Multiple LEDs and Event Cameras (2025)

Ryota Soga et al.

1.17

Aligning Task- and Reconstruction-Oriented Communications for Edge Intelligence (2025)

Yufeng Diao et al.

1.00

Handover-Aware Trajectory Optimization for Cellular-Connected UAV (2025)

Xiangming Du and Shuowen Zhang and Francis C.-M. Lau

1.00

A Comprehensive Insights into Drones: History, Classification, Architecture, Navigation, Applications, Challenges, and Future Trends (2025)

Ruchita Singh et al.

0.94

Design of a Solver for Multi-Agent Epistemic Planning (2019)

Francesco Fabiano (University of Udine)

—

Emergence of Writing Systems Through Multi-Agent Cooperation (2019)

Shresth Verma et al.

—

Finite-Sample Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation (2019)

Jun Sun et al.

—

Radio Map Based 3D Path Planning for Cellular-Connected UAV (2019)

Shuowen Zhang et al.

—

Adaptive Trajectory Estimation with Power Limited Steering Model under Perturbation Compensation (2019)

Weipeng Li et al.

—

Dynamic Radar Network of UAVs: A Joint Navigation and Tracking Approach (2020)

Anna Guerra et al.

—

Human Perception of Intrinsically Motivated Autonomy in Human-Robot Interaction (2020)

Marcus M. Scheunemann et al.

—

Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms (2020)

Tengchan Zeng et al.

—

Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement Learning (2020)

Yong Zeng et al.

—

Communication-Efficient Edge AI Inference Over Wireless Networks (2020)

Kai Yang et al.

—

Coordination and Communication of Autonomous Subsystems in Cyber Physical Systems: A Mechanism Learning Approach (2020)

Husheng Li

—

Information-Theoretic Abstractions for Planning in Agents with Computational Constraints (2020)

Daniel T. Larsson and Dipankar Maity and Panagiotis Tsiotras

—

Real-time Localization Using Radio Maps (2020)

\c{C}a\u{g}kan Yapar et al.

—

UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach (2020)

Harald Bayerlein et al.

—

Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones (2020)

Ugurkan Ates

—

Non-Adversarial Imitation Learning and its Connections to Adversarial Methods (2020)

Oleg Arenz and Gerhard Neumann

—

Warmth and Competence to Predict Human Preference of Robot Behavior in Physical Human-Robot Interaction (2020)

Marcus M. Scheunemann and Raymond H. Cuijpers and Christoph Salge

—

Sketch-Guided Object Localization in Natural Images (2020)

Aditay Tripathi et al.

—

Action and Perception as Divergence Minimization (2020)

Danijar Hafner et al.

—

Artificial Intelligence for UAV-enabled Wireless Networks: A Survey (2020)

Mohamed-Amine Lahmeri et al.

—

Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning (2020)

Harald Bayerlein et al.

—

Task-relevant Representation Learning for Networked Robotic Perception (2020)

Manabu Nakanoya et al.

—

Communication-Aware Energy Efficient Trajectory Planning with Limited Channel Knowledge (2020)

D. Bonilla Licea et al.

—

Deciding What to Learn: A Rate-Distortion Approach (2021)

Dilip Arumugam and Benjamin Van Roy

—

Sensor Planning for Large Numbers of Robots (2021)

Micah Corah

—

Multiview Sensing With Unknown Permutations: An Optimal Transport Approach (2021)

Yanting Ma et al.

—

Learning-Based UAV Trajectory Optimization with Collision Avoidance and Connectivity Constraints (2021)

Xueyuan Wang and M. Cenk Gursoy

—

Model-aided Deep Reinforcement Learning for Sample-efficient UAV Trajectory Design in IoT Networks (2021)

Omid Esrafilian et al.

—

Dynamic Allocation of Visual Attention for Vision-based Autonomous Navigation under Data Rate Constraints (2021)

Ali Reza Pedram et al.

—

Gaussian Belief Space Path Planning for Minimum Sensing Navigation (2021)

Ali Reza Pedram et al.

—

A space of goals: the cognitive geometry of informationally bounded agents (2021)

Karen Archer et al.

—

Awesome Information Theory

Key papers

Information Theory

Awesome Information Theory

Key papers