activity
20232025
most citedGoodhart's Law in Reinforcement Learning

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

Incoherence in Goal-Conditioned Autoregressive Models

Jacek Karwowski, Raymond Douglas

We investigate mathematically the notion of incoherence: a structural issue with reinforcement learning policies derived by naive goal-conditioning of autoregressive models. We foc…

cs.CG2025

Hilbert geometry of the symmetric positive-definite bicone: Application to the geometry of the extended Gaussian family

Jacek Karwowski, Frank Nielsen

The extended Gaussian family is the closure of the Gaussian family obtained by completing the Gaussian family with the counterpart elements induced by degenerate covariance or dege…

cs.LG2024

Characterizing stable regions in the residual stream of LLMs

Jett Janiak, Jacek Karwowski, Chatrik Singh Mangat +3

We identify stable regions in the residual stream of Transformers, where the model's output remains insensitive to small activation changes, but exhibits high sensitivity at region…

cs.AI2024

Limitations of Agents Simulated by Predictive Models

Raymond Douglas, Jacek Karwowski, Chan Bae +2

There is increasing focus on adapting predictive models into agent-like systems, most notably AI assistants based on language models. We outline two structural reasons for why thes…

cs.LG2023★ 1 cited

Goodhart's Law in Reinforcement Learning

Jacek Karwowski, Oliver Hayman, Xingjian Bai +3

Implementing a reward function that perfectly captures a complex task in the real world is impractical. As a result, it is often appropriate to think of the reward function as a pr…