Lars Lien Ankile

According to our database, Lars Lien Ankile authored at least 15 papers between 2019 and 2025.

Collaborative distances:

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

2025

Residual Off-Policy RL for Finetuning Behavior Cloning Policies.

Lars Ankile, Zhenyu Jiang, Rocky Duan, Guanya Shi, Pieter Abbeel, Anusha Nagabandi

CoRR, September, 2025

Bridging the Sim2Real Gap: Vision Encoder Pre-Training for Visuomotor Policy Transfer.

Samuel Biruduganti, Yash Yardi, Lars Ankile

CoRR, January, 2025

DART: Dexterous Augmented Reality Teleoperation Platform for Large-Scale Robot Data Collection in Simulation.

Younghyo Park, Jagdeep Singh Bhatia, Lars Ankile, Pulkit Agrawal

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

From Imitation to Refinement - Residual Rl for Precise Assembly.

Lars Ankile, Anthony Simeonov, Idan Shenfeld, Marcel Torne, Pulkit Agrawal

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Diffusion Policy Policy Optimization.

Allen Z. Ren, Justin Lidard, Lars Lien Ankile, Anthony Simeonov, Pulkit Agrawal, Anirudha Majumdar, Benjamin Burchfiel, Hongkai Dai, Max Simchowitz

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Robot Learning with Super-Linear Scaling.

Marcel Torne, Arhan Jain, Jiayi Yuan, Vidaaranya Macha, Lars Ankile, Anthony Simeonov, Pulkit Agrawal, Abhishek Gupta

CoRR, 2024

DexHub and DART: Towards Internet Scale Robot Data Collection.

Younghyo Park, Jagdeep Singh Bhatia, Lars Ankile, Pulkit Agrawal

CoRR, 2024

From Imitation to Refinement - Residual RL for Precise Visual Assembly.

Lars Ankile, Anthony Simeonov, Idan Shenfeld, Marcel Torne, Pulkit Agrawal

CoRR, 2024

JUICER: Data-Efficient Imitation Learning for Robotic Assembly.

Lars Ankile, Anthony Simeonov, Idan Shenfeld, Pulkit Agrawal

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Discovering User Types: Mapping User Traits by Task-Specific Behaviors in Reinforcement Learning.

Lars Lien Ankile, Brian S. Ham, Kevin Mao, Eura Shin, Siddharth Swaroop, Finale Doshi-Velez, Weiwei Pan

CoRR, 2023

Denoising Diffusion Probabilistic Models as a Defense against Adversarial Attacks.

Lars Lien Ankile, Anna Midgley, Sebastian Weisshaar

CoRR, 2023

2022

The DONUT Approach to EnsembleCombination Forecasting.

Lars Lien Ankile, Kjartan Krange

CoRR, 2022

2020

Deep Convolutional Neural Networks: A survey of the foundations, selected improvements, and some current applications.

Lars Lien Ankile, Morgan Feet Heggland, Kjartan Krange

CoRR, 2020

Application of Facial Recognition using Convolutional Neural Networks for Entry Access Control.

Lars Lien Ankile, Morgan Feet Heggland, Kjartan Krange

CoRR, 2020

2019

Approximate Strategy-Proofness in Large, Two-Sided Matching Markets.

Lars Lien Ankile, Kjartan Krange, Yuto Yagi

CoRR, 2019