23 citations · 24 across the 3 of their papers we have counts for
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cs.RO2026
Roz: A Taste Test for World Model Latents
Kenneth Ge, Dhruv Sheth, Kunvar Thaman
State of the art latent dynamics world models achieve impressive performance for robot planning. But do they actually encode the physics of the world? In this paper, we show that p…
cs.LG2026
What Happens to the Goal? Distinct Failures of Policy Alignment in Goal Misgeneralization
Julia Barth, Armin Sommer, Kunvar Thaman +1
Goal misgeneralization is a common failure mode in which an agent behaves competently out of distribution but pursues a proxy that coincided with the intended goal during training…
cs.LG2026
Reward Hacking Benchmark: Measuring Exploits in LLM Agents with Tool Use
Kunvar Thaman
Reinforcement learning (RL) trained language model agents with tool access are increasingly deployed in coding assistants, research tools, and autonomous systems. We introduce the…