1

Toward Complex and Structured Goals in Reinforcement Learning
Guy Davidson, Todd M. Gureckis
Toward Human-AI Alignment in Large-Scale Multi-Player Games
Sugandha Sharma, Guy Davidson, Khimya Khetarpal, Anssi Kanervisto, Udit Arora, Katja Hofmann, Ida Momennejad
Generating Human-Like Goals by Synthesizing Reward-Producing Programs
Guy Davidson, Graham Todd, Todd M. Gureckis, Julian Togelius, Brenden M. Lake
Creativity, Compositionality, and Common Sense in Human Goal Generation
Guy Davidson, Todd M. Gureckis, Brenden M. Lake
Examining Infant Relation Categorization Through Deep Neural Networks
Guy Davidson, Brenden M. Lake
Investigating Simple Object Representations in Model-Free Deep Reinforcement Learning
Guy Davidson, Brenden M. Lake
Systematically Comparing Neural Network Architectures in Relation Learning
Guy Davidson, Brenden M. Lake
Sequential mastery of multiple visual tasks: Networks naturally learn to learn and forget to forget
Guy Davidson, Michael C. Mozer
Contrasting the effects of prospective attention and retrospective decay in representation learning
Guy Davidson, Angela Radulescu, Yael Niv
Momentum and mood in policy-gradient reinforcement learning
Daniel Bennett, Guy Davidson, Yael Niv