JAXenstein ports the Wolfenstein 3D engine to JAX to create a fast, scalable benchmark for first-person visual RL that is several times quicker than existing vision-based alternatives.
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UNVERDICTED 2representative citing papers
A malicious agent in multi-agent LLM consensus systems can be trained via a surrogate world model and RL to reduce consensus rates and prolong disagreement more effectively than direct prompt attacks.
citing papers explorer
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JAXenstein: Accelerated Benchmarking for First-Person Environments
JAXenstein ports the Wolfenstein 3D engine to JAX to create a fast, scalable benchmark for first-person visual RL that is several times quicker than existing vision-based alternatives.
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Insider Attacks in Multi-Agent LLM Consensus Systems
A malicious agent in multi-agent LLM consensus systems can be trained via a surrogate world model and RL to reduce consensus rates and prolong disagreement more effectively than direct prompt attacks.