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Avraham Ruderman

2 accepted papers

2025

Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games

IJCAI 2025

We propose a self-play approach to generating strategies for playing in multi-player games, where strategies are represented as computer code. We use large language models (LLMs) to generate pieces of code to play in the game, which we refer to as generated bots. We engage the LLM generated bots in

Cited by 0SourcePDFScholar
2019

Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures

ICLR 2019poster

This paper addresses the problem of evaluating learning systems in safety critical domains such as autonomous driving, where failures can have catastrophic consequences. We focus on two problems: searching for scenarios when learned agents fail and assessing their probability of failure. The standar…

Cited by 91SourcePDFScholar