Online and Offline Reinforcement Learning by Planning with a Learned Model. - Julian Schrittwieser; Thomas Hubert; Amol Mandhane; Mohammadamin Barekatain; Ioannis Antonoglou; David Silver (NeurIPS, 2021)

Skillful Precipitation Nowcasting using Deep Generative Models of Radar. - Suman V. Ravuri; Karel Lenc; Matthew Willson; Dmitry Kangin; Rémi Lam; Piotr Mirowski; Megan Fitzsimons; Maria Athanassiadou; Sheleem Kashem; Sam Madge; Rachel Prudden; Amol Mandhane; et al. (CoRR, 2021)

Skilful precipitation nowcasting using deep generative models of radar. - Suman V. Ravuri; Karel Lenc; Matthew Willson; Dmitry Kangin; Rémi Lam; Piotr Mirowski; Megan Fitzsimons; Maria Athanassiadou; Sheleem Kashem; Sam Madge; Rachel Prudden; Amol Mandhane; et al. (Nat., 2021)

MuZero with Self-competition for Rate Control in VP9 Video Compression. - Amol Mandhane; Anton Zhernov; Maribeth Rauh; Chenjie Gu; Miaosen Wang; Flora Xue; Wendy Shang; Derek Pang; Rene Claus; Ching-Han Chiang; Cheng Chen; Jingning Han; et al. (CoRR, 2022)

Faster sorting algorithms discovered using deep reinforcement learning. - Daniel J. Mankowitz; Andrea Michi; Anton Zhernov; Marco Gelmi; Marco Selvi; Cosmin Paduraru; Edouard Leurent; Shariq Iqbal; Jean-Baptiste Lespiau; Alex Ahern; Thomas Köppe; Kevin Millikin; et al. (Nat., 2023)