Copertina

Using Surprise Index for Competency Assessment in Autonomous Decision-Making

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ratheesh, Akash, Dagan, Ofer, Ahmed, Nisar R., McMahon, Jay
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Robotics Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Exact and Approximate Heterogeneous Bayesian Decentralized Data Fusion
di: Dagan, Ofer, et al.
Pubblicazione: (2021)

Scalable Factor Graph-Based Heterogeneous Bayesian DDF for Dynamic Systems
di: Dagan, Ofer, et al.
Pubblicazione: (2024)

Prediction of Acoustic Communication Performance for AUVs using Gaussian Process Classification
di: Gao, Yifei, et al.
Pubblicazione: (2024)

Decentralized Gaussian Process Classification and an Application in Subsea Robotics
di: Gao, Yifei, et al.
Pubblicazione: (2025)

Observation-Augmented Contextual Multi-Armed Bandits for Robotic Search and Exploration
di: Wakayama, Shohei, et al.
Pubblicazione: (2023)

Autonomous Vehicle Decision-Making Framework for Considering Malicious Behavior at Unsignalized Intersections
di: Li, Qing, et al.
Pubblicazione: (2024)

"A Good Bot Always Knows Its Limitations": Assessing Autonomous System Decision-making Competencies through Factorized Machine Self-confidence
di: Israelsen, Brett W., et al.
Pubblicazione: (2024)

Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making
di: Wan, Hanxi, et al.
Pubblicazione: (2024)

Edge AI-Powered Real-Time Decision-Making for Autonomous Vehicles in Adverse Weather Conditions
di: Rahmati, Milad
Pubblicazione: (2025)

Learning Memory Mechanisms for Decision Making through Demonstrations
di: Yue, William, et al.
Pubblicazione: (2024)

Surprise Potential as a Measure of Interactivity in Driving Scenarios
di: Ding, Wenhao, et al.
Pubblicazione: (2025)

Tactical Decision Making for Autonomous Trucks by Deep Reinforcement Learning with Total Cost of Operation Based Reward
di: Pathare, Deepthi, et al.
Pubblicazione: (2024)

Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions
di: Lekeufack, Jordan, et al.
Pubblicazione: (2023)

Interpretable Decision-Making for End-to-End Autonomous Driving
di: Mirzaie, Mona, et al.
Pubblicazione: (2025)

Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning
di: Tan, Hengkai, et al.
Pubblicazione: (2024)

Learning to Look: Seeking Information for Decision Making via Policy Factorization
di: Dass, Shivin, et al.
Pubblicazione: (2024)

Adaptive Teaching in Heterogeneous Agents: Balancing Surprise in Sparse Reward Scenarios
di: Clark, Emma, et al.
Pubblicazione: (2024)

Rao-Blackwellized POMDP Planning
di: Lee, Jiho, et al.
Pubblicazione: (2024)

Optimizing Sensor Redundancy in Sequential Decision-Making Problems
di: Nüßlein, Jonas, et al.
Pubblicazione: (2024)

VIPER: Visual Perception and Explainable Reasoning for Sequential Decision-Making
di: Aissi, Mohamed Salim, et al.
Pubblicazione: (2025)

Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning
di: Wang, Pengyu, et al.
Pubblicazione: (2025)

Scenario-Based Hierarchical Reinforcement Learning for Automated Driving Decision Making
di: Abdelhamid, M. Youssef, et al.
Pubblicazione: (2025)

Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction
di: Luo, Baiting, et al.
Pubblicazione: (2025)

Learning Safe Autonomous Driving Policies Using Predictive Safety Representations
di: Keswani, Mahesh, et al.
Pubblicazione: (2025)

Diverse and Adaptive Behavior Curriculum for Autonomous Driving: A Student-Teacher Framework with Multi-Agent RL
di: Abouelazm, Ahmed, et al.
Pubblicazione: (2025)

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving
di: Sun, Zhengqi, et al.
Pubblicazione: (2026)

Autonomous Path Planning for Intercostal Robotic Ultrasound Imaging Using Reinforcement Learning
di: Bi, Yuan, et al.
Pubblicazione: (2024)

Event-Centric World Modeling with Memory-Augmented Retrieval for Embodied Decision-Making
di: Fan, Zhaowen, et al.
Pubblicazione: (2026)

CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making
di: Dong, Zibin, et al.
Pubblicazione: (2024)

Pretrained Vision-Language-Action Models are Surprisingly Resistant to Forgetting in Continual Learning
di: Liu, Huihan, et al.
Pubblicazione: (2026)

Dynamic Risk Assessment for Autonomous Vehicles from Spatio-Temporal Probabilistic Occupancy Heatmaps
di: Wang, Han, et al.
Pubblicazione: (2025)

Cross-cultural Deployment of Autonomous Vehicles Using Data-light Inverse Reinforcement Learning
di: Lu, Hongliang, et al.
Pubblicazione: (2025)

FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making
di: Wang, Yucen, et al.
Pubblicazione: (2025)

Practice Makes Perfect: Planning to Learn Skill Parameter Policies
di: Kumar, Nishanth, et al.
Pubblicazione: (2024)

Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention
di: Lee, Sang-Hyun, et al.
Pubblicazione: (2024)

Learning to Plan, Planning to Learn: Adaptive Hierarchical RL-MPC for Sample-Efficient Decision Making
di: Hori, Toshiaki, et al.
Pubblicazione: (2025)

Optimizing Plastic Waste Collection in Water Bodies Using Heterogeneous Autonomous Surface Vehicles with Deep Reinforcement Learning
di: Barrionuevo, Alejandro Mendoza, et al.
Pubblicazione: (2024)

Reinforcement Learning Enhancement Using Vector Semantic Representation and Symbolic Reasoning for Human-Centered Autonomous Emergency Braking
di: Asodia, Vinal, et al.
Pubblicazione: (2026)

A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving
di: Abouelazm, Ahmed, et al.
Pubblicazione: (2024)

A Real-Time Neuro-Symbolic Ethical Governor for Safe Decision Control in Autonomous Robotic Manipulation
di: Aueawatthanaphisut, Aueaphum, et al.
Pubblicazione: (2026)