SOTAVerified

Decision Making

Papers

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Showing 9301–9350 of 12311 papers

TitleStatusHype
The Development of Visualization Psychology Analysis Tools to Account for Trust—0
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection—0
Multi-task Causal Learning with Gaussian ProcessesCode1
A Review of Complex Systems Approaches to Cancer Networks—0
Topology Learning of unknown Networked Linear Dynamical System excited by Cyclostationary inputs—0
Bidirectional Representation Learning from Transformers using Multimodal Electronic Health Record Data to Predict DepressionCode1
Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach—0
Ergodicity-breaking reveals time optimal decision making in humansCode1
Towards a Systematic Computational Framework for Modeling Multi-Agent Decision-Making at Micro Level for Smart Vehicles in a Smart World—0
A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward—0
N-BEATS neural network for mid-term electricity load forecastingCode0
Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control—0
Evolution of Coordination in Pairwise and Multi-player Interactions via Prior Commitments—0
CertRL: Formalizing Convergence Proofs for Value and Policy Iteration in CoqCode1
A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints—0
Eye Movement Feature Classification for Soccer Goalkeeper Expertise Identification in Virtual Reality—0
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19Code0
The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets—0
Demand Responsive Dynamic Pricing Framework for Prosumer Dominated Microgrids using Multiagent Reinforcement Learning—0
Dynamic Fusion based Federated Learning for COVID-19 Detection—0
Distributed Structured Actor-Critic Reinforcement Learning for Universal Dialogue Management—0
Logic Programming and Machine Ethics—0
Local Post-Hoc Explanations for Predictive Process Monitoring in Manufacturing—0
An embedded deep learning system for augmented reality in firefighting applications—0
When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multi-Timescale Resource Management for Multi-access Edge Computing in 5G Ultra Dense Network—0
Data-driven modeling for different stages of pandemic response—0
Hotel Recommendation System Based on User Profiles and Collaborative Filtering—0
Entropy, Computing and Rationality—0
Reinforcement Learning Approaches in Social Robotics—0
RL STaR Platform: Reinforcement Learning for Simulation based Training of RobotsCode1
Interpretable Recommender System With Heterogeneous Information: A Geometric Deep Learning PerspectiveCode1
Quantifying Uncertainty in Risk Assessment using Fuzzy Theory—0
Recursive Experts: An Efficient Optimal Mixture of Learning Systems in Dynamic Environments—0
Multi-agent reinforcement learning algorithm to solve a partially-observable multi-agent problem in disaster response—0
Explainable boosted linear regression for time series forecasting—0
Private Reinforcement Learning with PAC and Regret Guarantees—0
Probably Approximately Correct Explanations of Machine Learning Models via Syntax-Guided Synthesis—0
GRAC: Self-Guided and Self-Regularized Actor-CriticCode0
Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures—0
Learnable Strategies for Bilateral Agent Negotiation over Multiple Issues—0
Online Semi-Supervised Learning in Contextual Bandits with Episodic RewardCode0
Reward Maximisation through Discrete Active Inference—0
Transfer Learning in Deep Reinforcement Learning: A Survey—0
Causal Bandits without prior knowledge using separating sets—0
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation—0
An Imprecise Probability Approach for Abstract Argumentation based on Credal Sets—0
The impact of social influence in Australian real-estate: market forecasting with a spatial agent-based model—0
Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable RecoursesCode0
Demand Forecasting of Individual Probability Density Functions with Machine Learning—0
SCOUTER: Slot Attention-based Classifier for Explainable Image RecognitionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified