State of the art reinforcement learning has enabled training agents on t...
Recent work in machine learning and cognitive science has suggested that...
Despite recent progress in reinforcement learning (RL), RL algorithms fo...
One of the key promises of model-based reinforcement learning is the abi...
Model-based planning is often thought to be necessary for deep, careful
...
Research in developmental psychology consistently shows that children ex...
Standard planners for sequential decision making (including Monte Carlo
...
We introduce "Search with Amortized Value Estimates" (SAVE), an approach...
We introduce agents that use object-oriented reasoning to consider alter...
Physical construction -- the ability to compose objects, subject to phys...
Artificial intelligence (AI) has undergone a renaissance recently, makin...
While current deep learning systems excel at tasks such as object
classi...
Collaboration requires coordination, and we coordinate by anticipating o...
The study of human-robot interaction is fundamental to the design and us...
For an autonomous system to provide value (e.g., to customers, designers...
Many machine learning systems are built to solve the hardest examples of...