Sasha Salter

According to our database, Sasha Salter authored at least 9 papers between 2018 and 2024.

Collaborative distances:

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

2024

emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation.

Sasha Salter, Richard Warren, Collin Schlager, Adrian Spurr, Shangchen Han, Rohin Bhasin, Yujun Cai, Peter Walkington, Anuoluwapo Bolarinwa, Robert Wang, Nathan Danielson, Josh Merel, Eftychios A. Pnevmatikakis, Jesse Marshall

CoRR, 2024

emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation.

Sasha Salter, Richard Warren, Collin Schlager, Adrian Spurr, Shangchen Han, Rohin Bhasin, Yujun Cai, Peter Walkington, Anuoluwapo Bolarinwa, Robert J. Wang, Nathan Danielson, Josh Merel, Eftychios A. Pnevmatikakis, Jesse Marshall

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning.

Sasha Salter, Kristian Hartikainen, Walter Goodwin, Ingmar Posner

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Discovering knowledge abstractions for sample efficient embodied transfer learning.

Sasha Salter

PhD thesis, 2022

MO2: Model-Based Offline Options.

Sasha Salter, Markus Wulfmeier, Dhruva Tirumala, Nicolas Heess, Martin A. Riedmiller, Raia Hadsell, Dushyant Rao

Proceedings of the Conference on Lifelong Learning Agents, 2022

2020

Attention-Privileged Reinforcement Learning.

Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Attention Privileged Reinforcement Learning For Domain Transfer.

Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner

CoRR, 2019

Imagine That! Leveraging Emergent Affordances for Tool Synthesis in Reaching Tasks.

Yizhe Wu, Sudhanshu Kasewa, Oliver Groth, Sasha Salter, Li Sun, Oiwi Parker Jones, Ingmar Posner

CoRR, 2019

2018

TACO: Learning Task Decomposition via Temporal Alignment for Control.

Kyriacos Shiarlis, Markus Wulfmeier, Sasha Salter, Shimon Whiteson, Ingmar Posner

Proceedings of the 35th International Conference on Machine Learning, 2018