ICLR 2026 Past Interpretability
The First Workshop on AI for Mechanism Design and Strategic Decision Making
ICLR 2026 Workshop AIMS
- Submission deadline
- Feb 4, 2026, 17:00 UTC imported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).
Accepted papers (77)
Fetched from OpenReview (v2) on 2026-06-10.
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A Comparative Study of Deep Reinforcement Learning Algorithms for Dynamic Option Hedging
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A Robust Multi-Item Auction Design with Statistical Learning
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Adaptive Bandit Algorithms for Contextual Matching Markets
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Advancing Regulation in Artificial Intelligence: An Auction-Based Approach
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Agent Exchange: An Auction Platform for AI Agent Marketplaces
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Agentic Federated Learning: The Future of Distributed Training Orchestration
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Agentic Large Language Models for Decentralized Multi-agent Games
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AgenticPay: A Multi-Agent LLM Negotiation System for Buyer–Seller Transactions
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Agents for Experiment, Experiments for Agents: A Topological Framework for Automated Mechanism Discovery
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AI Realtor: Towards Grounded Persuasive Language Generation for Automated Copywriting
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AIGP: An LLM-Based Framework for Long-Term Value Alignment in E-Commerce Pricing
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Allocate Marginal Reviews to Borderline Papers Using LLM Comparative Ranking
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Automating Forecasting Question Generation and Resolution for AI Evaluation
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Avoiding the Tragedy of the Commons in AI Regulation via Dynamic Licensing
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Belief Estimation as Probabilistic Constraints for Performing Strategic Dialogue Acts
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C2: Cenerative learning module enhanced decision transformer with Constraint-aware loss for auto-bidding
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CAFE-RL: Counterfactual Augmented Reinforcement Learning for Mechanism-Aware Onboarding Fraud Detection in E-Commerce
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CASCADE: Cascaded Scoped Communication for Multi-Agent Re-planning in Disrupted Industrial Environments
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Cheap Talk, Empty Promise: Frontier LLMs easily break public promises for self-interest
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COBRA: Contextual Bandit Algorithm for Ensuring Truthful Strategic Agents
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Code Driven Game Theoretic Evolution of LLM Agents as Holistic Strategy Generators
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Computing Equilibria in Games with Stochastic Action Sets
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Continuous RTS-PnO: Constraint-Aware Training for Robust Rolling-Horizon Budget Allocation
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CoopEval: Benchmarking Cooperation-Sustaining Mechanisms and LLM Agents in Social Dilemmas
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Credibility Governance: A Social Mechanism for Collective Self-Correction under Weak Truth Signals
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Decision Making under Imperfect Recall: Algorithms and Benchmarks
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DecisionLLM: Large Language Models for Long Sequence Decision Exploration
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DIRECTING THE UNSCRIPTED: ALT-MIRAGE FOR EMERGENT SOCIAL DECEPTION DRAMA
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Do LLMs Act Like Rational Agents? Measuring Belief Coherence in Probabilistic Decision Making
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Equilibrium Structure of High-Resolution Differential Equations for Min–Max Optimization
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Explicit Budget Optimization: Activating Traffic under Budget Constraints in Cold-Start Ad Bidding
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Fine-tuning Large Language Model for Automated Algorithm Design
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GoT: Robust Information Seeking with LLMs using Game Theory
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GraphScholar: Compositional Strategic Decision Making for Knowledge Graph Reasoning via Relation-Dependency Graphs
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GT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory
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How LLMs Reshape Equilibrium: A Study of Human-AI Competition in Auctions
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Influence-Salient Coordination Shaping for Scalable Cooperative MARL
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Iterative Scarcity-Guided Exploration: Bootstrapping Generative Auto-bidding from Narrow Support
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Keep Everyone Happy: Online Fair Division of Numerous Items with Few Copies
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Leaderboard Incentives: Model Rankings under Strategic Post-Training
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Learning Against a Strategic Agent in Principal-Agent Games
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Learning Revenue-Maximizing Auctions with Neural Affine Maximizer
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Learning to Staff: Offline Reinforcement Learning and Fine-Tuned LLMs for Warehouse Staffing Optimization
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LLM-as-a-Prophet: Understanding AI's Predictive Intelligence with Prophet Arena
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LLM-Auction: Generative Auction towards LLM-Native Advertising
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Make an Offer They Can't Refuse: Grounding Bayesian Persuasion in Real-World Dialogues without Pre-Commitment
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MaRCA: Multi-Agent Reinforcement Learning for Dynamic Computation Allocation in Large-Scale Recommender Systems
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Miscalibrated Belief Updates in LLM Agents under Strategic Uncertainty
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On the Edge of Core (Non-)Emptiness: An Automated Reasoning Approach to Approval-Based Multi-Winner Voting
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Optimal Aggregation Mechanisms for AI Benchmarking and Platinum Benchmarks
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Optimal Control Meets Online Mechanism: Adaptive Policy Learning with Strategic Agent Response
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Optimal Treatment Assignment from Observational Data: A Decision-focused Learning Approach via Pseudo Labels
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Optimally Curating an Event
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Pacing with ROI: Budget Allocation in Sponsored Search
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Pay for The Second-Best Service: A Game-Theoretic Approach Against Dishonest LLM Providers
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Performative Personalization Incentivizes Truthfulness in Federated Learning
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Persona Vectors in Games: Measuring and Steering Strategies via Activation Vectors
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Personalization Aids Pluralistic Alignment Under Competition
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Post-Training LLMs as Better Decision-Making Agents: A Regret-Minimization Approach
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Prices, Bids, Values: One ML-Powered Combinatorial Auction to Rule Them All
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Prompt Optimization Enables Stable Algorithmic Collusion in LLM Agents
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Robust Trust
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SAC-Opt: Semantic Anchors for Iterative Correction in Optimization Modeling
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SEGB: SELF-EVOLVED GENERATIVE BIDDING WITH LOCAL AUTOREGRESSIVE DIFFUSION
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Selling Data as a Digital Good with Scaling Valuations
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SOK: A Taxonomy of Attack Vectors and Defense Strategies for Agentic Supply Chain Runtime
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Steering LLMs for Multi-agent Decision-making using Representation Learning
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Strategic Hypothesis Testing
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Test-Time Compute Games
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Text as the Richest Preference Signal
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Toward a Dynamic Stackelberg Game-Theoretic Framework for Agentic AI Defense Against LLM Jailbreaking
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Towards Predictive Models of Strategic Behaviour in Large Language Model Agents
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Understanding Agent Scaling in LLM-Based Multi-Agent Systems via Diversity
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Very Credible Auction
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Visualizing Coalition Formation: From Hedonic Games to Image Segmentation
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What-If Analysis of Large Language Models: Explore the Game World Using Proactive Thinking
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Who to Ask and What to Ask: Adaptive Multi-Turn Group Elicitation with LLMs