Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Jessica B. Hamrick

Jessica B. Hamrick

Procedural Generalization by Planning with Self-Supervised World Models


Nov 02, 2021
Ankesh Anand, Jacob Walker, Yazhe Li, Eszter Vértes, Julian Schrittwieser, Sherjil Ozair, Théophane Weber, Jessica B. Hamrick

Figure 1 for Procedural Generalization by Planning with Self-Supervised World Models
Figure 2 for Procedural Generalization by Planning with Self-Supervised World Models
Figure 3 for Procedural Generalization by Planning with Self-Supervised World Models
Figure 4 for Procedural Generalization by Planning with Self-Supervised World Models

  Access Paper or Ask Questions

On the role of planning in model-based deep reinforcement learning


Nov 08, 2020
Jessica B. Hamrick, Abram L. Friesen, Feryal Behbahani, Arthur Guez, Fabio Viola, Sims Witherspoon, Thomas Anthony, Lars Buesing, Petar Veličković, Théophane Weber

Figure 1 for On the role of planning in model-based deep reinforcement learning
Figure 2 for On the role of planning in model-based deep reinforcement learning
Figure 3 for On the role of planning in model-based deep reinforcement learning
Figure 4 for On the role of planning in model-based deep reinforcement learning

  Access Paper or Ask Questions

Exploring Exploration: Comparing Children with RL Agents in Unified Environments


May 06, 2020
Eliza Kosoy, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Sandy Huang, Alison Gopnik, John Canny

Figure 1 for Exploring Exploration: Comparing Children with RL Agents in Unified Environments
Figure 2 for Exploring Exploration: Comparing Children with RL Agents in Unified Environments
Figure 3 for Exploring Exploration: Comparing Children with RL Agents in Unified Environments
* Published as a workshop paper at "Bridging AI and Cognitive Science" (ICLR 2020) 
  Access Paper or Ask Questions

Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning


Apr 23, 2020
Giambattista Parascandolo, Lars Buesing, Josh Merel, Leonard Hasenclever, John Aslanides, Jessica B. Hamrick, Nicolas Heess, Alexander Neitz, Theophane Weber

Figure 1 for Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning
Figure 2 for Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning
Figure 3 for Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning
Figure 4 for Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning

  Access Paper or Ask Questions

Combining Q-Learning and Search with Amortized Value Estimates


Jan 10, 2020
Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Theophane Weber, Lars Buesing, Peter W. Battaglia

Figure 1 for Combining Q-Learning and Search with Amortized Value Estimates
Figure 2 for Combining Q-Learning and Search with Amortized Value Estimates
Figure 3 for Combining Q-Learning and Search with Amortized Value Estimates
Figure 4 for Combining Q-Learning and Search with Amortized Value Estimates
* Published as a conference paper at ICLR 2020 
  Access Paper or Ask Questions

Object-oriented state editing for HRL


Oct 31, 2019
Victor Bapst, Alvaro Sanchez-Gonzalez, Omar Shams, Kimberly Stachenfeld, Peter W. Battaglia, Satinder Singh, Jessica B. Hamrick

Figure 1 for Object-oriented state editing for HRL
Figure 2 for Object-oriented state editing for HRL
Figure 3 for Object-oriented state editing for HRL
Figure 4 for Object-oriented state editing for HRL
* 8 pages; accepted to the Perception as Generative Reasoning workshop of the 33rd Conference on Neural InformationProcessing Systems (NeurIPS 2019) 
  Access Paper or Ask Questions

Structured agents for physical construction


May 13, 2019
Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick

Figure 1 for Structured agents for physical construction
Figure 2 for Structured agents for physical construction
Figure 3 for Structured agents for physical construction
Figure 4 for Structured agents for physical construction
* ICML 2019 
  Access Paper or Ask Questions

Relational inductive biases, deep learning, and graph networks


Oct 17, 2018
Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Vinicius Zambaldi, Mateusz Malinowski, Andrea Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, Caglar Gulcehre, Francis Song, Andrew Ballard, Justin Gilmer, George Dahl, Ashish Vaswani, Kelsey Allen, Charles Nash, Victoria Langston, Chris Dyer, Nicolas Heess, Daan Wierstra, Pushmeet Kohli, Matt Botvinick, Oriol Vinyals, Yujia Li, Razvan Pascanu

Figure 1 for Relational inductive biases, deep learning, and graph networks
Figure 2 for Relational inductive biases, deep learning, and graph networks
Figure 3 for Relational inductive biases, deep learning, and graph networks
Figure 4 for Relational inductive biases, deep learning, and graph networks

  Access Paper or Ask Questions

Relational inductive bias for physical construction in humans and machines


Jun 04, 2018
Jessica B. Hamrick, Kelsey R. Allen, Victor Bapst, Tina Zhu, Kevin R. McKee, Joshua B. Tenenbaum, Peter W. Battaglia

Figure 1 for Relational inductive bias for physical construction in humans and machines
Figure 2 for Relational inductive bias for physical construction in humans and machines
Figure 3 for Relational inductive bias for physical construction in humans and machines
Figure 4 for Relational inductive bias for physical construction in humans and machines
* In Proceedings of the Annual Meeting of the Cognitive Science Society (CogSci 2018) 
  Access Paper or Ask Questions

Generating Plans that Predict Themselves


Feb 14, 2018
Jaime F. Fisac, Chang Liu, Jessica B. Hamrick, S. Shankar Sastry, J. Karl Hedrick, Thomas L. Griffiths, Anca D. Dragan

Figure 1 for Generating Plans that Predict Themselves
Figure 2 for Generating Plans that Predict Themselves
Figure 3 for Generating Plans that Predict Themselves
Figure 4 for Generating Plans that Predict Themselves
* Jaime F. Fisac, Chang Liu, Jessica B. Hamrick, S. Shankar Sastry, J. Karl Hedrick, Thomas L. Griffiths, and Anca D. Dragan. "Generating Plans that Predict Themselves". Workshop on Algorithmic Foundations of Robotics (WAFR), 2016 
 * Published at the Workshop on Algorithmic Foundations of Robotics (WAFR 2016) 
  Access Paper or Ask Questions

Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration


Feb 06, 2018
Chang Liu, Jessica B. Hamrick, Jaime F. Fisac, Anca D. Dragan, J. Karl Hedrick, S. Shankar Sastry, Thomas L. Griffiths

Figure 1 for Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration
Figure 2 for Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration
Figure 3 for Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration
Figure 4 for Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration
* C. Liu, J. Hamrick, J. Fisac, A. Dragan, J. K. Hedrick, S. Sastry, T. Griffiths. "Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration". Autonomous Agents and Multiagent Systems (AAMAS), 2016 
 * Published at the International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016) 
  Access Paper or Ask Questions

Pragmatic-Pedagogic Value Alignment


Feb 05, 2018
Jaime F. Fisac, Monica A. Gates, Jessica B. Hamrick, Chang Liu, Dylan Hadfield-Menell, Malayandi Palaniappan, Dhruv Malik, S. Shankar Sastry, Thomas L. Griffiths, Anca D. Dragan

Figure 1 for Pragmatic-Pedagogic Value Alignment
Figure 2 for Pragmatic-Pedagogic Value Alignment
* International Symposium on Robotics Research, 2017 
 * Published at the International Symposium on Robotics Research (ISRR 2017) 
  Access Paper or Ask Questions

Metacontrol for Adaptive Imagination-Based Optimization


May 07, 2017
Jessica B. Hamrick, Andrew J. Ballard, Razvan Pascanu, Oriol Vinyals, Nicolas Heess, Peter W. Battaglia

Figure 1 for Metacontrol for Adaptive Imagination-Based Optimization
Figure 2 for Metacontrol for Adaptive Imagination-Based Optimization
Figure 3 for Metacontrol for Adaptive Imagination-Based Optimization
Figure 4 for Metacontrol for Adaptive Imagination-Based Optimization
* Published as a conference paper at ICLR 2017 
  Access Paper or Ask Questions