Decision Making
2034 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
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.
Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite Data
nilsleh/tropical_cyclone_uq
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We provide a detailed evaluation of predictive uncertainty estimates from state-of-the-art uncertainty quantification (UQ) methods for DNNs.
Semantic Approach to Quantifying the Consistency of Diffusion Model Image Generation
brinnaebent/semantic-consistency-score
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In this study, we identify the need for an interpretable, quantitative score of the repeatability, or consistency, of image generation in diffusion models.
LM Transparency Tool: Interactive Tool for Analyzing Transformer Language Models
facebookresearch/llm-transparency-tool
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We present the LM Transparency Tool (LM-TT), an open-source interactive toolkit for analyzing the internal workings of Transformer-based language models.
Multi-Agent Soft Actor-Critic with Global Loss for Autonomous Mobility-on-Demand Fleet Control
We study a sequential decision-making problem for a profit-maximizing operator of an Autonomous Mobility-on-Demand system.
