Pilarski, Patrick M.

Model-Free reinforcement learning with continuous action in practice

Degris, T., Pilarski, P. M., & Sutton, R. S. (2012) · 2012 American Control Conference (ACC)

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 239

A genome-wide aberrant RNA splicing in patients with acute myeloid leukemia identifies novel potential disease markers and therapeutic targets

Adamia, S., Haibe-Kains, B., Pilarski, P. M., Bar-Natan, M., Pevzner, S., Avet-Loiseau, H., Lode, L., Verselis, S., Fox, E. A., Burke, J., et al. (2014) · Clinical Cancer Research

RNA Research and SplicingAcute Myeloid Leukemia Research

Cited by 106

Horde: a scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction

Sutton, R. S., Modayil, J., Delp, M., Degris, T., Pilarski, P. M., White, A., & Precup, D. (2011) · International Joint Conference on Autonomous Agents and Multiagent Systems

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 15