Wilka Carvalho

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Eligibility Traces

Multi Agent Environments

Domain Adaptation

Reinforcement Learning

Top Venues

Publications

Wilka Carvalho, Momchil S. Tomov, William de Cothi, Caswell Barry, Samuel J. Gershman
Predictive representations: building blocks of intelligence. CoRR (2024)
Lajanugen Logeswaran, Wilka Carvalho, Honglak Lee
Learning Compositional Tasks from Language Instructions. AAAI (2023)
Wilka Carvalho, Angelos Filos, Richard L. Lewis, Honglak Lee, Satinder Singh
Composing Task Knowledge With Modular Successor Feature Approximators. ICLR (2023)
Wilka Carvalho, Andre Saraiva, Angelos Filos, Andrew Kyle Lampinen, Loic Matthey, Richard L. Lewis, Honglak Lee, Satinder Singh, Danilo J. Rezende, Daniel Zoran
Combining Behaviors with the Successor Features Keyboard. CoRR (2023)
Wilka Carvalho, Angelos Filos, Richard L. Lewis, Honglak Lee, Satinder Singh
Composing Task Knowledge with Modular Successor Feature Approximators. CoRR (2023)
Wilka Carvalho, Andrew Kyle Lampinen, Kyriacos Nikiforou, Felix Hill, Murray Shanahan
Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023)
Wilka Carvalho, Andre Saraiva, Angelos Filos, Andrew K. Lampinen, Loic Matthey, Richard L. Lewis, Honglak Lee, Satinder Singh, Danilo Jimenez Rezende, Daniel Zoran
Combining Behaviors with the Successor Features Keyboard. NeurIPS (2023)
Wilka Carvalho, Anthony Liang, Kimin Lee, Sungryull Sohn, Honglak Lee, Richard L. Lewis, Satinder Singh
Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment. IJCAI (2021)
Christopher Hoang, Sungryull Sohn, Jongwook Choi, Wilka Carvalho, Honglak Lee
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning. CoRR (2021)
Christopher Hoang, Sungryull Sohn, Jongwook Choi, Wilka Carvalho, Honglak Lee
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning. NeurIPS (2021)
Wilka Carvalho, Andrew K. Lampinen, Kyriacos Nikiforou, Felix Hill, Murray Shanahan
Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning. CoRR (2021)
Wilka Carvalho, Anthony Liang, Kimin Lee, Sungryull Sohn, Honglak Lee, Richard L. Lewis, Satinder Singh
Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in First-person Simulated 3D Environments. CoRR (2020)
Bryant Chen, Wilka Carvalho, Nathalie Baracaldo, Heiko Ludwig, Benjamin Edwards, Taesung Lee, Ian M. Molloy, Biplav Srivastava
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering. SafeAI@AAAI (2019)
Bryant Chen, Wilka Carvalho, Nathalie Baracaldo, Heiko Ludwig, Benjamin Edwards, Taesung Lee, Ian M. Molloy, Biplav Srivastava
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering. CoRR (2018)
Sanjay Purushotham, Wilka Carvalho, Tanachat Nilanon, Yan Liu
Variational Recurrent Adversarial Deep Domain Adaptation. ICLR (Poster) (2017)