PDF Viewer

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Estimated $9K - $13K over 6-10 weeks.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.

References (74)

[1]
Convergence of Regret Matching in Potential Games and Constrained Optimization
2025I. Anagnostides, Emanuel Tewolde et al.
[2]
AI Testing Should Account for Sophisticated Strategic Behaviour
2025Vojtěch Kovařík, Eric Olav Chen et al.
[3]
Simplifying imperfect recall games
2025Hugo Gimbert, Soumyajit Paul et al.
[4]
Computing Game Symmetries and Equilibria That Respect Them
2025Emanuel Tewolde, B. Zhang et al.
[5]
Efficient Online Pruning and Abstraction for Imperfect Information Extensive-Form Games
2025Boning Li, Longbo Huang
[6]
The Value of Recall in Extensive-Form Games
2024Ratip Emin Berker, Emanuel Tewolde et al.
[7]
Characterising Simulation-Based Program Equilibria
2024Emery Cooper, Caspar Oesterheld et al.
[8]
Game Theory with Simulation in the Presence of Unpredictable Randomisation
2024Vojtěch Kovařík, Nathaniel Sauerberg et al.
[9]
Learning in Games with progressive hiding
2024Benjamin Heymann, Marc Lanctot
[10]
LiteEFG: An Efficient Python Library for Solving Extensive-form Games
2024Mingyang Liu, Gabriele Farina et al.
[11]
Imperfect-Recall Games: Equilibrium Concepts and Their Complexity
2024Emanuel Tewolde, B. Zhang et al.
[12]
Extensive-Form Game Solving via Blackwell Approachability on Treeplexes
2024Darshan Chakrabarti, Julien Grand-Cl'ement et al.
[13]
Recursive Joint Simulation in Games
2024Vojtěch Kovařík, Caspar Oesterheld et al.
[14]
Evaluating Language-Model Agents on Realistic Autonomous Tasks
2023Megan Kinniment, L. Sato et al.
[15]
The Computational Complexity of Single-Player Imperfect-Recall Games
2023Emanuel Tewolde, Caspar Oesterheld et al.
[16]
Regret Matching+: (In)Stability and Fast Convergence in Games
2023Gabriele Farina, Julien Grand-Clément et al.
[17]
Game Theory with Simulation of Other Players
2023Vojtěch Kovařík, Caspar Oesterheld et al.
[18]
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark
2023Alexander Pan, C. Shern et al.
[19]
For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria
2022Scott Emmons, Caspar Oesterheld et al.
[20]
Correlation-Based Algorithm for Team-Maxmin Equilibrium in Multiplayer Extensive-Form Games
2022Youzhi Zhang, Bo An et al.

Showing 20 of 74 references

Founder's Pitch

"New benchmark suite and algorithms for optimizing imperfect-recall decision problems, outperforming traditional approaches in efficiency."

Optimization AlgorithmsScore: 7View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

2/4 signals

5

Quick Build

4/4 signals

10

Series A Potential

2/4 signals

5

Sources used for this analysis

arXiv Paper

Full-text PDF analysis of the research paper

GitHub Repository

Code availability, stars, and contributor activity

Citation Network

Semantic Scholar citations and co-citation patterns

Community Predictions

Crowd-sourced unicorn probability assessments

Analysis model: GPT-4o · Last scored: 2/16/2026

Explore the full citation network and related research.

7-day free trial. Cancel anytime.

Understand the commercial significance and market impact.

7-day free trial. Cancel anytime.

Get detailed profiles of the research team.

7-day free trial. Cancel anytime.