Decision Making
2039 papers with code • 1 benchmarks • 38 datasets
Decision Making is a complex task that involves analyzing data (of different level of abstraction) from disparate sources and with different levels of certainty, merging the information by weighing in on some data source more than other, and arriving at a conclusion by exploring all possible alternatives.
Source: Complex Events Recognition under Uncertainty in a Sensor Network
Benchmarks
These leaderboards are used to track progress in Decision Making
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Libraries
Use these libraries to find Decision Making models and implementations
D4RL
Charades-STA
FairFace
VizDoom
TORCS
LogiQA
ShARC
GazeFollow
Latest papers
Conformal Predictive Systems Under Covariate Shift
Conformal Predictive Systems (CPS) offer a versatile framework for constructing predictive distributions, allowing for calibrated inference and informative decision-making.
Bias patterns in the application of LLMs for clinical decision support: A comprehensive study
Large Language Models (LLMs) have emerged as powerful candidates to inform clinical decision-making processes.
CASPR: Automated Evaluation Metric for Contrastive Summarization
Summarizing comparative opinions about entities (e. g., hotels, phones) from a set of source reviews, often referred to as contrastive summarization, can considerably aid users in decision making.
Model-Based Counterfactual Explanations Incorporating Feature Space Attributes for Tabular Data
Machine-learning models, which are known to accurately predict patterns from large datasets, are crucial in decision making.
Open-Ended Wargames with Large Language Models
We introduce "Snow Globe," an LLM-powered multi-agent system for playing qualitative wargames.
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
Wei9711/GACG
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To overcome these limitations, we present a novel approach to infer the Group-Aware Coordination Graph (GACG), which is designed to capture both the cooperation between agent pairs based on current observations and group-level dependencies from behaviour patterns observed across trajectories.
Procedural Dilemma Generation for Evaluating Moral Reasoning in Humans and Language Models
We collected moral permissibility and intention judgments from human participants for a subset of our items and compared these judgments to those from two language models (GPT-4 and Claude-2) across eight conditions.
Human-Algorithm Collaborative Bayesian Optimization for Engineering Systems
Our methodology exploits the hypothesis that humans are more efficient at making discrete choices rather than continuous ones and enables experts to influence critical early decisions.
Warm-Start Variational Quantum Policy Iteration
This objective can be achieved using policy iteration, which requires to solve a typically large linear system of equations.
Effective Reinforcement Learning Based on Structural Information Principles
selgroup/sidm
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An innovative two-layer skill-based learning mechanism is introduced to compute the common path entropy of each state transition as its identified probability, thereby obviating the requirement for expert knowledge.
