6 citations · 12 across the 4 of their papers we have counts for
4 papers
Scalable Online Planning via Reinforcement Learning Fine-Tuning
Arnaud Fickinger, Hengyuan Hu, Brandon Amos +2
Lookahead search has been a critical component of recent AI successes, such as in the games of chess, go, and poker. However, the search methods used in these games, and in many ot…
Multi-Principal Assistance Games: Definition and Collegial Mechanisms
Arnaud Fickinger, Simon Zhuang, Andrew Critch +2
We introduce the concept of a multi-principal assistance game (MPAG), and circumvent an obstacle in social choice theory, Gibbard's theorem, by using a sufficiently collegial prefe…
Multi-Principal Assistance Games
Arnaud Fickinger, Simon Zhuang, Dylan Hadfield-Menell +1
Assistance games (also known as cooperative inverse reinforcement learning games) have been proposed as a model for beneficial AI, wherein a robotic agent must act on behalf of a h…
Biadversarial Variational Autoencoder
Arnaud Fickinger
In the original version of the Variational Autoencoder, Kingma et al. assume Gaussian distributions for the approximate posterior during the inference and for the output during the…