Wilka Carvalho

According to our database, Wilka Carvalho authored at least 15 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

NiceWebRL: a Python library for human subject experiments with reinforcement learning environments.

Wilka Carvalho, Vikram Goddla, Ishaan Sinha, Hoon Shin, Kunal Jha

CoRR, August, 2025

Preemptive Solving of Future Problems: Multitask Preplay in Humans and Machines.

Wilka Carvalho, Sam Hall-McMaster, Honglak Lee, Samuel J. Gershman

CoRR, July, 2025

Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination.

Kunal Jha, Wilka Carvalho, Yancheng Liang, Simon S. Du, Max Kleiman-Weiner, Natasha Jaques

CoRR, April, 2025

Naturalistic Computational Cognitive Science: Towards generalizable models and theories that capture the full range of natural behavior.

Wilka Carvalho, Andrew K. Lampinen

CoRR, February, 2025

2024

Predictive Representations: Building Blocks of Intelligence.

Wilka Carvalho, Momchil S. Tomov, William de Cothi, Caswell Barry, Samuel J. Gershman

Neural Comput., 2024

2023

Reinforcement Learning Agents that Discover Structured Representations

Wilka Carvalho

PhD thesis, 2023

Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning.

Wilka Carvalho, Andrew Kyle Lampinen, Kyriacos Nikiforou, Felix Hill, Murray Shanahan

Trans. Mach. Learn. Res., 2023

Combining Behaviors with the Successor Features Keyboard.

Wilka Carvalho, Andre Saraiva, Angelos Filos, Andrew K. Lampinen, Loic Matthey, Richard L. Lewis, Honglak Lee, Satinder Singh, Danilo Jimenez Rezende, Daniel Zoran

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Composing Task Knowledge With Modular Successor Feature Approximators.

Wilka Carvalho, Angelos Filos, Richard L. Lewis, Honglak Lee, Satinder Singh

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Compositional Tasks from Language Instructions.

Lajanugen Logeswaran, Wilka Carvalho, Honglak Lee

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning.

Christopher Hoang, Sungryull Sohn, Jongwook Choi, Wilka Carvalho, Honglak Lee

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment.

Wilka Carvalho, Anthony Liang, Kimin Lee, Sungryull Sohn, Honglak Lee, Richard L. Lewis, Satinder Singh

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in First-person Simulated 3D Environments.

Wilka Carvalho, Anthony Liang, Kimin Lee, Sungryull Sohn, Honglak Lee, Richard L. Lewis, Satinder Singh

CoRR, 2020

2019

Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering.

Bryant Chen, Wilka Carvalho, Nathalie Baracaldo, Heiko Ludwig, Benjamin Edwards, Taesung Lee, Ian M. Molloy, Biplav Srivastava

Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the Thirty-Third AAAI Conference on Artificial Intelligence 2019 (AAAI-19), 2019

2017

Variational Recurrent Adversarial Deep Domain Adaptation.

Sanjay Purushotham, Wilka Carvalho, Tanachat Nilanon, Yan Liu

Proceedings of the 5th International Conference on Learning Representations, 2017