[AAAI 2023 Oral] Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
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Jun 3, 2024 - Python
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value-decomposition
Here are 7 public repositories matching this topic...
This article reframes pricing as a negotiation rather than a prediction, showing how price emerges from tensions between product reality, market dynamics, and buyer behavior. It introduces negotiation-aware ML, value decomposition, and equilibrium modeling to build transparent, human-aligned pricing systems.
predictive-analytics decision-science machine-learning-theory behavioral-economics explainable-ai economic-modeling human-centered-ai pricing-strategy value-decomposition pricing-models market-dynamics transparent-ai pricing-intelligence xai-methods scenario-simulation negotiation-theory equilibrium-modeling behavioral-ml interpreter-ml ml-philosophy
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Dec 11, 2025
This article explores the theory behind explainable car pricing using value decomposition, showing how machine learning models can break a predicted price into intuitive components such as brand premium, age depreciation, mileage influence, condition effects, and transmission or fuel-type adjustments.
random-forest predictive-modeling sensitivity-analysis machine-learning-theory interpretable-ml explainable-ai model-interpretability economic-modeling feature-attribution applied-ml consumer-analytics value-decomposition data-science-methods transparent-ai pricing-intelligence automotive-analytics car-price-modeling ml-explainability automotive-ml explainable-pricing
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Oct 1, 2026 - Python
Public Baseline for AIJ Multi-Agent RL Contest
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Sep 12, 2024 - Jupyter Notebook
Multi-Agent RL HW3 (Grade 97, M.Sc. Data Science, HIT): value decomposition with the textbook codebase — IDQN, VDN and QMIX compared on cooperative Level-Based Foraging and two SMAClite combat scenarios, with rollout videos from early and late training
python deep-reinforcement-learning pytorch smac multi-agent-reinforcement-learning qmix vdn value-decomposition
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Sep 25, 2026 - Jupyter Notebook
🚗 Decode car values using a transparent machine learning system that enhances price understanding through explainable methods.
random-forest predictive-modeling sensitivity-analysis interpretable-ml explainable-ai model-interpretability economic-modeling feature-attribution applied-ml consumer-analytics value-decomposition transparent-ai pricing-intelligence automotive-analytics ml-explainability automotive-ml explainable-pricing
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Dec 29, 2025
🤝 Explore negotiation-driven pricing with a simulation engine that applies behavioral economics for smarter, real-world pricing strategies.
predictive-analytics decision-science machine-learning-theory behavioral-economics explainable-ai economic-modeling human-centered-ai pricing-strategy value-decomposition pricing-models market-dynamics transparent-ai pricing-intelligence xai-methods scenario-simulation negotiation-theory equilibrium-modeling interpreter-ml ml-philosophy
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Oct 4, 2026
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