Cambridge Yang

According to our database, Cambridge Yang authored at least 7 papers between 2018 and 2023.

Collaborative distances:

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

2023

Computably Continuous Reinforcement-Learning Objectives Are PAC-Learnable.

Cambridge Yang, Michael Littman, Michael Carbin

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

2022

On the (In)Tractability of Reinforcement Learning for LTL Objectives.

Cambridge Yang, Michael L. Littman, Michael Carbin

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Simplifying dependent reductions in the polyhedral model.

Cambridge Yang, Eric Atkinson, Michael Carbin

Proc. ACM Program. Lang., 2021

Reinforcement Learning for General LTL Objectives Is Intractable.

Cambridge Yang, Michael L. Littman, Michael Carbin

CoRR, 2021

2020

Simplifying Multiple-Statement Reductions with the Polyhedral Model.

Cambridge Yang, Eric Atkinson, Michael Carbin

CoRR, 2020

2019

Compiler Auto-Vectorization with Imitation Learning.

Charith Mendis, Cambridge Yang, Yewen Pu, Saman P. Amarasinghe, Michael Carbin

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Verifying Handcoded Probabilistic Inference Procedures.

Eric Atkinson, Cambridge Yang, Michael Carbin

CoRR, 2018