Sam Ritter

TalkRL: The Reinforcement Learning Podcast

Sam Ritter is a Research Scientist on the neuroscience team at DeepMind.

Featured References

Unsupervised Predictive Memory in a Goal-Directed Agent (MERLIN)
Greg Wayne, Chia-Chun Hung, David Amos, Mehdi Mirza, Arun Ahuja, Agnieszka Grabska-Barwinska, Jack Rae, Piotr Mirowski, Joel Z. Leibo, Adam Santoro, Mevlana Gemici, Malcolm Reynolds, Tim Harley, Josh Abramson, Shakir Mohamed, Danilo Rezende, David Saxton, Adam Cain, Chloe Hillier, David Silver, Koray Kavukcuoglu, Matt Botvinick, Demis Hassabis, Timothy Lillicrap

Meta-RL without forgetting: Been There, Done That: Meta-Learning with Episodic Recall
Samuel Ritter, Jane X. Wang, Zeb Kurth-Nelson, Siddhant M. Jayakumar, Charles Blundell, Razvan Pascanu, Matthew Botvinick

Meta-Reinforcement Learning with Episodic Recall: An Integrative Theory of Reward-Driven Learning
Samuel Ritter 2019

Meta-RL exploration and planning: Rapid Task-Solving in Novel Environments
Sam Ritter, Ryan Faulkner, Laurent Sartran, Adam Santoro, Matt Botvinick, David Raposo

Synthetic Returns for Long-Term Credit Assignment
David Raposo, Sam Ritter, Adam Santoro, Greg Wayne, Theophane Weber, Matt Botvinick, Hado van Hasselt, Francis Song

Additional References

• Sam Ritter: Meta-Learning to Make Smart Inferences from Small Data , North Star AI 2019
• The Bitter Lesson, Rich Sutton 2019