Akhil S. Anand

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Topics

Markov Decision Process

Reinforcement Learning

Model Predictive Control

Top Venues

Robotics Auton. Syst.

Publications

Dirk Reinhardt, Akhil S. Anand, Shambhuraj Sawant, Sebastien Gros
Economic Model Predictive Control as a Solution to Markov Decision Processes. CoRR (2024)
Akhil S. Anand, Rituraj Kaushik, Jan Tommy Gravdahl, Fares J. Abu-Dakka
Data-Efficient Reinforcement Learning for Variable Impedance Control. IEEE Access 12 (2024)
Akhil S. Anand, Dirk Reinhardt, Shambhuraj Sawant, Jan Tommy Gravdahl, Sebastien Gros
A Painless Deterministic Policy Gradient Method for Learning-based MPC. ECC (2023)
Akhil S. Anand, Jan Tommy Gravdahl, Fares J. Abu-Dakka
Model-based variable impedance learning control for robotic manipulation. Robotics Auton. Syst. 170 (2023)
Shambhuraj Sawant, Akhil S. Anand, Dirk Reinhardt, Sebastien Gros
Learning-based MPC from Big Data Using Reinforcement Learning. CoRR (2023)
Akhil S. Anand, Fares J. Abu-Dakka, Jan Tommy Gravdahl
Deep Model Predictive Variable Impedance Control. CoRR (2022)
Akhil S. Anand, Martin Hagen Myrestrand, Jan Tommy Gravdahl
Evaluation of Variable Impedance- and Hybrid Force/MotionControllers for Learning Force Tracking Skills. SII (2022)
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)
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)
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)