Sam Ritter

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