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ORCIDAnirudh Vemula
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2020 – today
- 2023
[c13]Anirudh Vemula, Yuda Song, Aarti Singh, Drew Bagnell, Sanjiban Choudhury:
The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms. ICML 2023: 34978-35005- [i15]Anirudh Vemula, Yuda Song, Aarti Singh, J. Andrew Bagnell, Sanjiban Choudhury:
The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms. CoRR abs/2303.00694 (2023) - 2022
- [b1]Anirudh Vemula:
Planning and Execution using Inaccurate Models with Provable Guarantees on Task Completeness. Carnegie Mellon University, USA, 2022 - [c12]Nader Maray, Anirudh Vemula, Maxim Likhachev:
Improved Soft Duplicate Detection in Search-Based Motion Planning. ICRA 2022: 5792-5798 - [c11]Anirudh Vemula, Wen Sun, Maxim Likhachev, J. Andrew Bagnell:
On the Effectiveness of Iterative Learning Control. L4DC 2022: 47-58 - 2021
- [c10]Anirudh Vemula, J. Andrew Bagnell, Maxim Likhachev:
CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models. AAAI 2021: 6147-6155 - [i14]Manash Pratim Das, Anirudh Vemula, Mayank Pathak, Sandip Aine, Maxim Likhachev:
Learning Optimal Decision Making for an Industrial Truck Unloading Robot using Minimal Simulator Runs. CoRR abs/2105.05019 (2021) - [i13]Nader Maray, Anirudh Vemula, Maxim Likhachev:
Improved Soft Duplicate Detection in Search-Based Motion Planning. CoRR abs/2109.12427 (2021) - [i12]Anirudh Vemula, Wen Sun, Maxim Likhachev, J. Andrew Bagnell:
On the Effectiveness of Iterative Learning Control. CoRR abs/2111.09434 (2021) - 2020
- [c9]Anirudh Vemula, J. Andrew Bagnell:
Tron: A Fast Solver for Trajectory Optimization with Non-Smooth Cost Functions. CDC 2020: 4157-4163 - [c8]Fahad Islam, Anirudh Vemula, Sung-Kyun Kim, Andrew Dornbush, Oren Salzman, Maxim Likhachev:
Planning, Learning and Reasoning Framework for Robot Truck Unloading. ICRA 2020: 5011-5017 - [c7]Anirudh Vemula, Yash Oza, J. Andrew Bagnell, Maxim Likhachev:
Planning and Execution using Inaccurate Models with Provable Guarantees. Robotics: Science and Systems 2020 - [i11]Anirudh Vemula, Yash Oza, J. Andrew Bagnell, Maxim Likhachev:
Planning and Execution using Inaccurate Models with Provable Guarantees. CoRR abs/2003.04394 (2020) - [i10]Anirudh Vemula, J. Andrew Bagnell:
TRON: A Fast Solver for Trajectory Optimization with Non-Smooth Cost Functions. CoRR abs/2003.14393 (2020) - [i9]Anirudh Vemula, Wen Sun, J. Andrew Bagnell:
Exploration in Action Space. CoRR abs/2004.00500 (2020) - [i8]Anirudh Vemula, J. Andrew Bagnell, Maxim Likhachev:
CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models. CoRR abs/2009.09942 (2020)
2010 – 2019
- 2019
- [c6]Anirudh Vemula, Wen Sun, J. Andrew Bagnell:
Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective. AISTATS 2019: 2926-2935 - [c5]Wen Sun, Anirudh Vemula, Byron Boots, Drew Bagnell:
Provably Efficient Imitation Learning from Observation Alone. ICML 2019: 6036-6045 - [i7]Anirudh Vemula, Wen Sun, J. Andrew Bagnell:
Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective. CoRR abs/1901.11503 (2019) - [i6]Wen Sun, Anirudh Vemula, Byron Boots, J. Andrew Bagnell:
Provably Efficient Imitation Learning from Observation Alone. CoRR abs/1905.10948 (2019) - [i5]Fahad Islam, Anirudh Vemula, Sung-Kyun Kim, Andrew Dornbush, Oren Salzman, Maxim Likhachev:
Planning, Learning and Reasoning Framework for Robot Truck Unloading. CoRR abs/1910.09453 (2019) - [i4]Abhijeet Tallavajhula, Adrian Schoisengeier, Sung-Kyun Kim, Anirudh Vemula, Levi Lister, Oren Salzman:
Task-Informed Fidelity Management for Speeding Up Robotics Simulation. CoRR abs/1910.12284 (2019) - 2018
- [c4]Anirudh Vemula, Katharina Muelling, Jean Oh:
Social Attention: Modeling Attention in Human Crowds. ICRA 2018: 1-7 - 2017
- [c3]Anirudh Vemula, Katharina Mülling, Jean Oh:
Modeling cooperative navigation in dense human crowds. ICRA 2017: 1685-1692 - [i3]Anirudh Vemula, Katharina Mülling, Jean Oh:
Modeling Cooperative Navigation in Dense Human Crowds. CoRR abs/1705.06201 (2017) - [i2]Anirudh Vemula, Katharina Mülling, Jean Oh:
Social Attention: Modeling Attention in Human Crowds. CoRR abs/1710.04689 (2017) - 2016
- [c2]Anirudh Vemula, Katharina Mülling, Jean Oh:
Path Planning in Dynamic Environments with Adaptive Dimensionality. SOCS 2016: 107-115 - [i1]Anirudh Vemula, Katharina Mülling, Jean Oh:
Path Planning in Dynamic Environments with Adaptive Dimensionality. CoRR abs/1605.06853 (2016) - 2015
- [c1]Anirudh Vemula, Nikhil Patil, Vivek Paharia, Aneesh Bansal, Megha Chaudhary, Naveen Aggarwal
, Divya Bansal, K. K. Ramakrishnan, Bhaskaran Raman:
Improving public transportation through crowd-sourcing. COMSNETS 2015: 1-6
Coauthor Index
aka: Drew Bagnell
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