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Decision Making
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
State and Memory is All You Need for Robust and Reliable AI Agents
A Survey of Continual Reinforcement Learning
PapersPlease: A Benchmark for Evaluating Motivational Values of Large Language Models Based on ERG Theory
Risk-Averse Best Arm Set Identification with Fixed Budget and Fixed Confidence
Discovering multiple antibiotic resistance phenotypes using diverse top-k subgroup list discovery
Explainable AI for Radar Resource Management: Modified LIME in Deep Reinforcement Learning
Strict Subgoal Execution: Reliable Long-Horizon Planning in Hierarchical Reinforcement Learning
Curriculum-Guided Antifragile Reinforcement Learning for Secure UAV Deconfliction under Observation-Space Attacks
Artificial Delegates Resolve Fairness Issues in Perpetual Voting with Partial Turnout
World-aware Planning Narratives Enhance Large Vision-Language Model Planner
Coordinated Control of Autonomous Vehicles for Traffic Density Reduction at a Signalized Junction: An MPC Approach
Flow-Based Single-Step Completion for Efficient and Expressive Policy Learning
Enhancing Large Language Models through Structured Reasoning
Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration
CARMA: Context-Aware Situational Grounding of Human-Robot Group Interactions by Combining Vision-Language Models with Object and Action Recognition
Empirical estimator of diversification quotient
GymPN: A Library for Decision-Making in Process Management Systems
Case-based Reasoning Augmented Large Language Model Framework for Decision Making in Realistic Safety-Critical Driving Scenarios
Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher
Toward Decision-Oriented Prognostics: An Integrated Estimate-Optimize Framework for Predictive Maintenance
An experiment in price perception error
Achieving Trustworthy Real-Time Decision Support Systems with Low-Latency Interpretable AI Models
Beyond Autocomplete: Designing CopilotLens Towards Transparent and Explainable AI Coding Agents
Ark: An Open-source Python-based Framework for Robot Learning
LLM-Integrated Digital Twins for Hierarchical Resource Allocation in 6G Networks
T-CPDL: A Temporal Causal Probabilistic Description Logic for Developing Logic-RAG Agent
GEMeX-ThinkVG: Towards Thinking with Visual Grounding in Medical VQA via Reinforcement Learning
Beyond utility: incorporating eye-tracking, skin conductance and heart rate data into cognitive and econometric travel behaviour models
Perceptual Rationality: An Evolutionary Game Theory of Perceptually Rational Decision-Making
Efficient Strategy Synthesis for MDPs via Hierarchical Block Decomposition
Formal Control for Uncertain Systems via Contract-Based Probabilistic Surrogates (Extended Version)
TransDreamerV3: Implanting Transformer In DreamerV3
Towards AI Search Paradigm
Cash or Comfort? How LLMs Value Your Inconvenience
UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making
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