research
∙
02/08/2023
Investigating the role of model-based learning in exploration and transfer
State of the art reinforcement learning has enabled training agents on t...
share
research
∙
06/16/2022
Towards Understanding How Machines Can Learn Causal Overhypotheses
Recent work in machine learning and cognitive science has suggested that...
research
∙
02/21/2022
Learning Causal Overhypotheses through Exploration in Children and Computational Models
Despite recent progress in reinforcement learning (RL), RL algorithms fo...
research
∙
11/02/2021
Procedural Generalization by Planning with Self-Supervised World Models
One of the key promises of model-based reinforcement learning is the abi...
research
∙
11/08/2020
On the role of planning in model-based deep reinforcement learning
Model-based planning is often thought to be necessary for deep, careful ...
research
∙
05/06/2020
Exploring Exploration: Comparing Children with RL Agents in Unified Environments
Research in developmental psychology consistently shows that children ex...
research
∙
04/23/2020
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning
Standard planners for sequential decision making (including Monte Carlo ...
research
∙
12/05/2019
Combining Q-Learning and Search with Amortized Value Estimates
We introduce "Search with Amortized Value Estimates" (SAVE), an approach...
research
∙
10/31/2019
Object-oriented state editing for HRL
We introduce agents that use object-oriented reasoning to consider alter...
research
∙
04/05/2019
Structured agents for physical construction
Physical construction -- the ability to compose objects, subject to phys...
research
∙
06/04/2018
Relational inductive biases, deep learning, and graph networks
Artificial intelligence (AI) has undergone a renaissance recently, makin...
research
∙
06/04/2018
Relational inductive bias for physical construction in humans and machines
While current deep learning systems excel at tasks such as object classi...
research
∙
02/14/2018
Generating Plans that Predict Themselves
Collaboration requires coordination, and we coordinate by anticipating o...
research
∙
02/06/2018
Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration
The study of human-robot interaction is fundamental to the design and us...
research
∙
07/20/2017
Pragmatic-Pedagogic Value Alignment
For an autonomous system to provide value (e.g., to customers, designers...
research
∙
05/07/2017
