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Journal Articles
- 2024
[j2]Akhil S. Anand
, Rituraj Kaushik, Jan Tommy Gravdahl, Fares J. Abu-Dakka:
Data-Efficient Reinforcement Learning for Variable Impedance Control. IEEE Access 12: 15631-15641 (2024)- 2023
- [j1]Akhil S. Anand, Jan Tommy Gravdahl, Fares J. Abu-Dakka:
Model-based variable impedance learning control for robotic manipulation. Robotics Auton. Syst. 170: 104531 (2023)
Conference and Workshop Papers
- 2023
- [c5]Akhil S. Anand, Dirk Reinhardt, Shambhuraj Sawant, Jan Tommy Gravdahl, Sebastien Gros:
A Painless Deterministic Policy Gradient Method for Learning-based MPC. ECC 2023: 1-7 - 2022
- [c4]Akhil S. Anand, Jens Erik Kveen, Fares J. Abu-Dakka, Esten Ingar Grøtli, Jan Tommy Gravdahl:
Addressing Sample Efficiency and Model-bias in Model-based Reinforcement Learning. ICMLA 2022: 1-6 - [c3]Akhil S. Anand, Martin Hagen Myrestrand, Jan Tommy Gravdahl:
Evaluation of Variable Impedance- and Hybrid Force/MotionControllers for Learning Force Tracking Skills. SII 2022: 83-89 - 2021
- [c2]Akhil S. Anand, Andreas Østvik, Esten Ingar Grøtli, Marialena Vagia, Jan Tommy Gravdahl:
Real-time temporal adaptation of dynamic movement primitives for moving targets. ICAR 2021: 261-268 - 2019
- [c1]Akhil S. Anand, Guoping Zhao, Hubert Roth, André Seyfarth:
A deep reinforcement learning based approach towards generating human walking behavior with a neuromuscular model. Humanoids 2019: 537-543
Informal and Other Publications
- 2024
- [i3]Dirk Reinhardt, Akhil S. Anand, Shambhuraj Sawant, Sebastien Gros:
Economic Model Predictive Control as a Solution to Markov Decision Processes. CoRR abs/2407.16500 (2024) - 2023
- [i2]Shambhuraj Sawant, Akhil S. Anand, Dirk Reinhardt, Sebastien Gros:
Learning-based MPC from Big Data Using Reinforcement Learning. CoRR abs/2301.01667 (2023) - 2022
- [i1]Akhil S. Anand, Fares J. Abu-Dakka, Jan Tommy Gravdahl:
Deep Model Predictive Variable Impedance Control. CoRR abs/2209.09614 (2022)
Coauthor Index
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