ICLR 2026PastInterpretability
The First Workshop on AI for Mechanism Design and Strategic Decision Making
ICLR 2026 Workshop AIMS
- Submission deadline
- Feb 4, 2026, 17:00 UTCOpenReview-synced 2026-02-04 17:00 UTC (as of 2026-06-23) — extensions on OpenReview are applied automatically; verify on the website.
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (77)
Fetched from OpenReview (v2) on 2026-06-10.
A Comparative Study of Deep Reinforcement Learning Algorithms for Dynamic Option Hedging
A Robust Multi-Item Auction Design with Statistical Learning
Adaptive Bandit Algorithms for Contextual Matching Markets
Advancing Regulation in Artificial Intelligence: An Auction-Based Approach
Agent Exchange: An Auction Platform for AI Agent Marketplaces
Agentic Federated Learning: The Future of Distributed Training Orchestration
Agentic Large Language Models for Decentralized Multi-agent Games
AgenticPay: A Multi-Agent LLM Negotiation System for Buyer–Seller Transactions
Agents for Experiment, Experiments for Agents: A Topological Framework for Automated Mechanism Discovery
AI Realtor: Towards Grounded Persuasive Language Generation for Automated Copywriting
AIGP: An LLM-Based Framework for Long-Term Value Alignment in E-Commerce Pricing
Allocate Marginal Reviews to Borderline Papers Using LLM Comparative Ranking
Automating Forecasting Question Generation and Resolution for AI Evaluation
Avoiding the Tragedy of the Commons in AI Regulation via Dynamic Licensing
Belief Estimation as Probabilistic Constraints for Performing Strategic Dialogue Acts
C2: Cenerative learning module enhanced decision transformer with Constraint-aware loss for auto-bidding
CAFE-RL: Counterfactual Augmented Reinforcement Learning for Mechanism-Aware Onboarding Fraud Detection in E-Commerce
CASCADE: Cascaded Scoped Communication for Multi-Agent Re-planning in Disrupted Industrial Environments
Cheap Talk, Empty Promise: Frontier LLMs easily break public promises for self-interest
COBRA: Contextual Bandit Algorithm for Ensuring Truthful Strategic Agents
Code Driven Game Theoretic Evolution of LLM Agents as Holistic Strategy Generators
Computing Equilibria in Games with Stochastic Action Sets
Continuous RTS-PnO: Constraint-Aware Training for Robust Rolling-Horizon Budget Allocation
CoopEval: Benchmarking Cooperation-Sustaining Mechanisms and LLM Agents in Social Dilemmas
Credibility Governance: A Social Mechanism for Collective Self-Correction under Weak Truth Signals
Decision Making under Imperfect Recall: Algorithms and Benchmarks
DecisionLLM: Large Language Models for Long Sequence Decision Exploration
DIRECTING THE UNSCRIPTED: ALT-MIRAGE FOR EMERGENT SOCIAL DECEPTION DRAMA
Do LLMs Act Like Rational Agents? Measuring Belief Coherence in Probabilistic Decision Making
Equilibrium Structure of High-Resolution Differential Equations for Min–Max Optimization
Explicit Budget Optimization: Activating Traffic under Budget Constraints in Cold-Start Ad Bidding
Fine-tuning Large Language Model for Automated Algorithm Design
GoT: Robust Information Seeking with LLMs using Game Theory
GraphScholar: Compositional Strategic Decision Making for Knowledge Graph Reasoning via Relation-Dependency Graphs
GT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory
How LLMs Reshape Equilibrium: A Study of Human-AI Competition in Auctions
Influence-Salient Coordination Shaping for Scalable Cooperative MARL
Iterative Scarcity-Guided Exploration: Bootstrapping Generative Auto-bidding from Narrow Support
Keep Everyone Happy: Online Fair Division of Numerous Items with Few Copies
Leaderboard Incentives: Model Rankings under Strategic Post-Training
Learning Against a Strategic Agent in Principal-Agent Games
Learning Revenue-Maximizing Auctions with Neural Affine Maximizer
Learning to Staff: Offline Reinforcement Learning and Fine-Tuned LLMs for Warehouse Staffing Optimization
LLM-as-a-Prophet: Understanding AI's Predictive Intelligence with Prophet Arena
LLM-Auction: Generative Auction towards LLM-Native Advertising
Make an Offer They Can't Refuse: Grounding Bayesian Persuasion in Real-World Dialogues without Pre-Commitment
MaRCA: Multi-Agent Reinforcement Learning for Dynamic Computation Allocation in Large-Scale Recommender Systems
Miscalibrated Belief Updates in LLM Agents under Strategic Uncertainty
On the Edge of Core (Non-)Emptiness: An Automated Reasoning Approach to Approval-Based Multi-Winner Voting
Optimal Aggregation Mechanisms for AI Benchmarking and Platinum Benchmarks
Optimal Control Meets Online Mechanism: Adaptive Policy Learning with Strategic Agent Response
Optimal Treatment Assignment from Observational Data: A Decision-focused Learning Approach via Pseudo Labels
Optimally Curating an Event
Pacing with ROI: Budget Allocation in Sponsored Search
Pay for The Second-Best Service: A Game-Theoretic Approach Against Dishonest LLM Providers
Performative Personalization Incentivizes Truthfulness in Federated Learning
Persona Vectors in Games: Measuring and Steering Strategies via Activation Vectors
Personalization Aids Pluralistic Alignment Under Competition
Post-Training LLMs as Better Decision-Making Agents: A Regret-Minimization Approach
Prices, Bids, Values: One ML-Powered Combinatorial Auction to Rule Them All
Prompt Optimization Enables Stable Algorithmic Collusion in LLM Agents
Robust Trust
SAC-Opt: Semantic Anchors for Iterative Correction in Optimization Modeling
SEGB: SELF-EVOLVED GENERATIVE BIDDING WITH LOCAL AUTOREGRESSIVE DIFFUSION
Selling Data as a Digital Good with Scaling Valuations
SOK: A Taxonomy of Attack Vectors and Defense Strategies for Agentic Supply Chain Runtime
Steering LLMs for Multi-agent Decision-making using Representation Learning
Strategic Hypothesis Testing
Test-Time Compute Games
Text as the Richest Preference Signal
Toward a Dynamic Stackelberg Game-Theoretic Framework for Agentic AI Defense Against LLM Jailbreaking
Towards Predictive Models of Strategic Behaviour in Large Language Model Agents
Understanding Agent Scaling in LLM-Based Multi-Agent Systems via Diversity
Very Credible Auction
Visualizing Coalition Formation: From Hedonic Games to Image Segmentation
What-If Analysis of Large Language Models: Explore the Game World Using Proactive Thinking
Who to Ask and What to Ask: Adaptive Multi-Turn Group Elicitation with LLMs