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decision making

173 papers

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large language model (12755) reinforcement learning (4122) multi-agent system (1743) bayesian inference (1904) human-ai collaboration (110) agent system (320) game theory (852) online learning (1770) causal inference (1619) autonomous driving (1142)

Papers

Choice-75: A Dataset on Decision Branching in Script Learning COLING 2024
Probing the Capacity of Language Model Agents to Operationalize Disparate Experiential Context Despite Distraction EMNLP 2024
AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback NAACL 2024
Real-Time Selection Under General Constraints via Predictive Inference NIPS 2024
Can Language Models Serve as Text-Based World Simulators? ACL 2024
Monte Carlo Tree Search in the Presence of Transition Uncertainty AAAI 2024
Approximation Algorithms for Preference Aggregation Using CP-Nets AAAI 2024
Can Large Language Models Serve as Rational Players in Game Theory? A Systematic Analysis AAAI 2024
Improving Decision Sparsity NIPS 2024
Pandora’s Problem with Deadlines AAAI 2024
I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data AAAI 2024
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making NIPS 2024
Enhancing Robotics with Cognitive Capabilities AAAI 2024
Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation ACL 2024
Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models ACL 2024
AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-Making NIPS 2024
Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster ACL 2024
QuBE: Question-based Belief Enhancement for Agentic LLM Reasoning EMNLP 2024
SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent EMNLP 2024
Designing Behavior-Aware AI to Improve the Human-AI Team Performance in AI-Assisted Decision Making IJCAI 2024
Conformal Inverse Optimization NIPS 2024
Utilizing Human Behavior Modeling to Manipulate Explanations in AI-Assisted Decision Making: The Good, the Bad, and the Scary NIPS 2024
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems NIPS 2024
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning? NIPS 2024
EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas NIPS 2024