Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration
Fuente:
arXiv
Saved in:
| Main Authors: | Rodemann, Julian, Croppi, Federico, Arens, Philipp, Sale, Yusuf, Herbinger, Julia, Bischl, Bernd, Hüllermeier, Eyke, Augustin, Thomas, Walsh, Conor J., Casalicchio, Giuseppe |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Explaining Temporal Graph Predictions With Shapley Values
by: Sussek, Lea-Marie, et al.
Published: (2026)
by: Sussek, Lea-Marie, et al.
Published: (2026)
A Survey of Reinforcement Learning from Human Feedback
by: Kaufmann, Timo, et al.
Published: (2023)
by: Kaufmann, Timo, et al.
Published: (2023)
AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
by: Yousaf, Iqra
Published: (2024)
by: Yousaf, Iqra
Published: (2024)
Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents
by: Tang, Wenjie, et al.
Published: (2026)
by: Tang, Wenjie, et al.
Published: (2026)
Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
by: Fadli, Samih
Published: (2025)
by: Fadli, Samih
Published: (2025)
Automated Circuit Interpretation via Probe Prompting
by: Birardi, Giuseppe
Published: (2025)
by: Birardi, Giuseppe
Published: (2025)
Modeling Considerations for Developing Deep Space Autonomous Spacecraft and Simulators
by: Agia, Christopher, et al.
Published: (2024)
by: Agia, Christopher, et al.
Published: (2024)
Modeling Nonlinear Oscillator Networks Using Physics-Informed Hybrid Reservoir Computing
by: Shannon, Andrew, et al.
Published: (2024)
by: Shannon, Andrew, et al.
Published: (2024)
Fusing Rewards and Preferences in Reinforcement Learning
by: Khorasani, Sadegh, et al.
Published: (2025)
by: Khorasani, Sadegh, et al.
Published: (2025)
From Idea to CAD: A Language Model-Driven Multi-Agent System for Collaborative Design
by: Ocker, Felix, et al.
Published: (2025)
by: Ocker, Felix, et al.
Published: (2025)
COBRA-PPM: A Causal Bayesian Reasoning Architecture Using Probabilistic Programming for Robot Manipulation Under Uncertainty
by: Cannizzaro, Ricardo, et al.
Published: (2024)
by: Cannizzaro, Ricardo, et al.
Published: (2024)
OntoLogX: Ontology-Guided Knowledge Graph Extraction from Cybersecurity Logs with Large Language Models
by: Cotti, Luca, et al.
Published: (2025)
by: Cotti, Luca, et al.
Published: (2025)
Sim-to-reality adaptation for Deep Reinforcement Learning applied to an underwater docking application
by: Chaarani, Alaaeddine, et al.
Published: (2026)
by: Chaarani, Alaaeddine, et al.
Published: (2026)
Survey Transfer Learning: Recycling Data with Silicon Responses
by: Amini, Ali
Published: (2025)
by: Amini, Ali
Published: (2025)
Exploring LLM-based Verilog Code Generation with Data-Efficient Fine-Tuning and Testbench Automation
by: Chen, Mu-Chi, et al.
Published: (2026)
by: Chen, Mu-Chi, et al.
Published: (2026)
Perfecting Aircraft Maneuvers with Reinforcement Learning
by: Cilan, Atahan, et al.
Published: (2026)
by: Cilan, Atahan, et al.
Published: (2026)
CoE: Collaborative Entropy for Uncertainty Quantification in Agentic Multi-LLM Systems
by: Sun, Kangkang, et al.
Published: (2026)
by: Sun, Kangkang, et al.
Published: (2026)
Analysing Factorizations of Action-Value Networks for Cooperative Multi-Agent Reinforcement Learning
by: Castellini, Jacopo, et al.
Published: (2019)
by: Castellini, Jacopo, et al.
Published: (2019)
On Convex Optimal Value Functions For POSGs
by: Cunha, Rafael F., et al.
Published: (2023)
by: Cunha, Rafael F., et al.
Published: (2023)
Training Language Models to Use Prolog as a Tool
by: Mellgren, Niklas, et al.
Published: (2025)
by: Mellgren, Niklas, et al.
Published: (2025)
Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward Profiles
by: Howard, Rhys, et al.
Published: (2025)
by: Howard, Rhys, et al.
Published: (2025)
Can Large Language Models Implement Agent-Based Models? An ODD-based Replication Study
by: Fachada, Nuno, et al.
Published: (2026)
by: Fachada, Nuno, et al.
Published: (2026)
Towards Algorithmic Fairness by means of Instance-level Data Re-weighting based on Shapley Values
by: Arnaiz-Rodriguez, Adrian, et al.
Published: (2023)
by: Arnaiz-Rodriguez, Adrian, et al.
Published: (2023)
Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight
by: Romero, Angel, et al.
Published: (2025)
by: Romero, Angel, et al.
Published: (2025)
WayFASTER: a Self-Supervised Traversability Prediction for Increased Navigation Awareness
by: Gasparino, Mateus Valverde, et al.
Published: (2024)
by: Gasparino, Mateus Valverde, et al.
Published: (2024)
Understanding Boolean Function Learnability on Deep Neural Networks: PAC Learning Meets Neurosymbolic Models
by: Nicolau, Marcio, et al.
Published: (2020)
by: Nicolau, Marcio, et al.
Published: (2020)
Selective Progress-Aware Querying for Human-in-the-Loop Reinforcement Learning
by: Muraleedharan, Anujith, et al.
Published: (2025)
by: Muraleedharan, Anujith, et al.
Published: (2025)
Imitation learning for sim-to-real transfer of robotic cutting policies based on residual Gaussian process disturbance force model
by: Hathaway, Jamie, et al.
Published: (2023)
by: Hathaway, Jamie, et al.
Published: (2023)
End-to-end example-based sim-to-real RL policy transfer based on neural stylisation with application to robotic cutting
by: Hathaway, Jamie, et al.
Published: (2026)
by: Hathaway, Jamie, et al.
Published: (2026)
Newtonian and Lagrangian Neural Networks: A Comparison Towards Efficient Inverse Dynamics Identification
by: Trinh, Minh, et al.
Published: (2025)
by: Trinh, Minh, et al.
Published: (2025)
Simulation-Based Counterfactual Causal Discovery on Real World Driver Behaviour
by: Howard, Rhys, et al.
Published: (2023)
by: Howard, Rhys, et al.
Published: (2023)
Explainable Wastewater Digital Twins: Adaptive Context-Conditioned Structured Simulators with Self-Falsifying Decision Support
by: Simethy, Gary, et al.
Published: (2026)
by: Simethy, Gary, et al.
Published: (2026)
Deep Memory Search: A Metaheuristic Approach for Optimizing Heuristic Search
by: Hedar, Abdel-Rahman, et al.
Published: (2024)
by: Hedar, Abdel-Rahman, et al.
Published: (2024)
QoSGMAA: A Robust Multi-Order Graph Attention and Adversarial Framework for Sparse QoS Prediction
by: Du, Guanchen, et al.
Published: (2025)
by: Du, Guanchen, et al.
Published: (2025)
Actor-Critic Model Predictive Control: Differentiable Optimization meets Reinforcement Learning for Agile Flight
by: Romero, Angel, et al.
Published: (2023)
by: Romero, Angel, et al.
Published: (2023)
Enabling Transparent Cyber Threat Intelligence Combining Large Language Models and Domain Ontologies
by: Cotti, Luca, et al.
Published: (2025)
by: Cotti, Luca, et al.
Published: (2025)
Few-Shot Learning of a Graph-Based Neural Network Model Without Backpropagation
by: Lapin, Mykyta, et al.
Published: (2025)
by: Lapin, Mykyta, et al.
Published: (2025)
SiliconMind-V1: Multi-Agent Distillation and Debug-Reasoning Workflows for Verilog Code Generation
by: Chen, Mu-Chi, et al.
Published: (2026)
by: Chen, Mu-Chi, et al.
Published: (2026)
CaMeRL: Collision-Aware and Memory-Enhanced Reinforcement Learning for UAV Navigation in Multi-Scale Obstacle Environments
by: Hong, Hong, et al.
Published: (2026)
by: Hong, Hong, et al.
Published: (2026)
2Mamba2Furious: Linear in Complexity, Competitive in Accuracy
by: Mongaras, Gabriel, et al.
Published: (2026)
by: Mongaras, Gabriel, et al.
Published: (2026)
Similar Items
-
Explaining Temporal Graph Predictions With Shapley Values
by: Sussek, Lea-Marie, et al.
Published: (2026) -
A Survey of Reinforcement Learning from Human Feedback
by: Kaufmann, Timo, et al.
Published: (2023) -
AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
by: Yousaf, Iqra
Published: (2024) -
Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents
by: Tang, Wenjie, et al.
Published: (2026) -
Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
by: Fadli, Samih
Published: (2025)