Our paper (K. Fukuchi et al., 2026) by K. Fukuchi, R. Hataya, and K. Matsui, titled Provable Target Sample Complexity Improvements as Pre-Trained Models Scale, has been accepted at the 29th International Conference on Artificial Intelligence and Statistics (AISTATS 2026). Our paper (S. Yamabe et al., 2026) by S. Yamabe, K. Fukuchi, and J. Sakuma, titled Robust Deep Reinforcement Learning against Adversarial Behavior Manipulation, has been accepted at the International Conference on Learning Representations (ICLR 2026).

References

  1. Kazuto Fukuchi, Ryuichiro Hataya, and Kota Matsui. Provable Target Sample Complexity Improvements as Pre‑Trained Models Scale. Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, 2026. to appear.arXiv
  2. Shojiro Yamabe, Kazuto Fukuchi, and Jun Sakuma. Robust Deep Reinforcement Learning against Adversarial Behavior Manipulation. The Fourteenth International Conference on Learning Representations, 2026. to appear.arXiv