KKT Points in Imperfect-Recall Games Correspond to CDT+GT Optimal Policies
jessi_cata · x · 2026-10-10
jessicata draws out an implication of the IJCAI-23 paper The Computational Complexity of Single-Player Imperfect-Recall Games (Tewolde, Oesterheld, Conitzer, Goldberg): KKT points in imperfect-recall games (e.g., Sleeping Beauty, Absentminded Driver) correspond to CDT+GT optimal policies, and KKT points are stable under ideal policy-gradient optimization. The author notes complexities in connecting these KKT points to optimizing neural-network parameters for memoryless POMDPs, but argues they should align when the network is over-parameterized relative to the policy set. The thread also traces earlier work like Piccione & Rubinstein (1997).
More from AGI Musings
- Why it's still worth trying: LLMs handle tree-like data and VLM spatial skills are rising — keenanisalive · 2026-10-10
- AI researcher: jailbreaking is about user agency, not wrongdoing — OpenAI framed the debate — BlancheMinerva · 2026-10-10
- Meta's Chief AI Officer Alexandr Wang: nobody knows how to solve alignment, favors AI watching AI — rohanpaul_ai · 2026-10-10
- Garry Tan floats full-salary 20-hour weeks for AI-enabled workers, sparking debate — geoffwolfe · 2026-10-10
- SWE interviews could collapse to 2 rounds: system design plus building a real thing with agents — TheZachMueller · 2026-10-10
- Grady Booch: Frontier Models Are Not Conscious and the Word Itself Is Useless — Grady_Booch · 2026-10-10