विक्रम रेड्डी

Atharv-kumar

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upvoted a paper 3 days ago

Learn2Play Bench: How Well Do LLM Agents Learn from Experience in Unfamiliar Environments?

upvoted a paper 3 days ago

CheckerBench: Can Long-Horizon Agents Synthesize Static-Analysis Checkers?

upvoted a paper 3 days ago

STEPQuant: When and Where Errors Matter in Delta-Rule Recurrent State Quantization

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upvoted 3 papers 3 days ago

Learn2Play Bench: How Well Do LLM Agents Learn from Experience in Unfamiliar Environments?

Paper • 2610.08215 • Published 5 days ago • 137

CheckerBench: Can Long-Horizon Agents Synthesize Static-Analysis Checkers?

Paper • 2610.07557 • Published 7 days ago • 71

STEPQuant: When and Where Errors Matter in Delta-Rule Recurrent State Quantization

Paper • 2609.38169 • Published 14 days ago • 124

upvoted a paper about 1 month ago

Terminal-Universe: Turning Agent Trajectories into Scalable Terminal Environments

Paper • 2609.04148 • Published Sep 3 • 211