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Cheng-Quan Tong

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#artificial intelligence Preprint Oct 2026

Short-to-Long: Detached Features for Long-Horizon Value Learning

This work introduces Short-to-Long (S2L), which supplies a long-horizon behavior learner with features trained by smaller-discount source networks, which yields aggregate performance gains, improving the paired terminal median on 40 of 57 Atari games.

Cheng-Quan Tong, B. Ivanovic, Marco Pavone · 0 citations