Cassidy Laidlaw

According to our database, Cassidy Laidlaw authored at least 12 papers between 2019 and 2024.

Collaborative distances:

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

2024

Preventing Reward Hacking with Occupancy Measure Regularization.

Cassidy Laidlaw, Shivam Singhal, Anca D. Dragan

CoRR, 2024

Distributional Preference Learning: Understanding and Accounting for Hidden Context in RLHF.

Anand Siththaranjan, Cassidy Laidlaw, Dylan Hadfield-Menell

Proceedings of the Twelfth International Conference on Learning Representations, 2024

The Effective Horizon Explains Deep RL Performance in Stochastic Environments.

Cassidy Laidlaw, Banghua Zhu, Stuart Russell, Anca D. Dragan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Toward Computationally Efficient Inverse Reinforcement Learning via Reward Shaping.

Lauren H. Cooke, Harvey Klyne, Edwin Zhang, Cassidy Laidlaw, Milind Tambe, Finale Doshi-Velez

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023

Bridging RL Theory and Practice with the Effective Horizon.

Cassidy Laidlaw, Stuart J. Russell, Anca D. Dragan

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

2022

The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human Models.

Cassidy Laidlaw, Anca D. Dragan

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Learning the Preferences of Uncertain Humans with Inverse Decision Theory.

Cassidy Laidlaw, Stuart Russell

CoRR, 2021

Uncertain Decisions Facilitate Better Preference Learning.

Cassidy Laidlaw, Stuart Russell

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

Perceptual Adversarial Robustness: Defense Against Unseen Threat Models.

Cassidy Laidlaw, Sahil Singla, Soheil Feizi

Proceedings of the 9th International Conference on Learning Representations, 2021

2019

Playing it Safe: Adversarial Robustness with an Abstain Option.

Cassidy Laidlaw, Soheil Feizi

CoRR, 2019

Functional Adversarial Attacks.

Cassidy Laidlaw, Soheil Feizi

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

Capture, Learning, and Synthesis of 3D Speaking Styles.

Daniel Cudeiro, Timo Bolkart, Cassidy Laidlaw, Anurag Ranjan, Michael J. Black

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019