A deep reinforcement learning based approach towards generating human walking behavior with a neuromuscular model. - Akhil S. Anand; Guoping Zhao; Hubert Roth; André Seyfarth (Humanoids, 2019)

Real-time temporal adaptation of dynamic movement primitives for moving targets. - Akhil S. Anand; Andreas Østvik; Esten Ingar Grøtli; Marialena Vagia; Jan Tommy Gravdahl (ICAR, 2021)

Safe Learning for Control using Control Lyapunov Functions and Control Barrier Functions: A Review. - Akhil S. Anand; Katrine Seel; Vilde B. Gjærum; Anne Håkansson; Haakon Robinson; Aya Saad (KES, 2021)

Robust Reasoning for Autonomous Cyber-Physical Systems in Dynamic Environments. - Anne Håkansson; Aya Saad; Akhil S. Anand; Vilde B. Gjærum; Haakon Robinson; Katrine Seel (KES, 2021)

Addressing Sample Efficiency and Model-bias in Model-based Reinforcement Learning. - Akhil S. Anand; Jens Erik Kveen; Fares J. Abu-Dakka; Esten Ingar Grøtli; Jan Tommy Gravdahl (ICMLA, 2022)

Evaluation of Variable Impedance- and Hybrid Force/MotionControllers for Learning Force Tracking Skills. - Akhil S. Anand; Martin Hagen Myrestrand; Jan Tommy Gravdahl (SII, 2022)

Deep Model Predictive Variable Impedance Control. - Akhil S. Anand; Fares J. Abu-Dakka; Jan Tommy Gravdahl (CoRR, 2022)

A Painless Deterministic Policy Gradient Method for Learning-based MPC. - Akhil S. Anand; Dirk Reinhardt; Shambhuraj Sawant; Jan Tommy Gravdahl; Sebastien Gros (ECC, 2023)

Learning-based MPC from Big Data Using Reinforcement Learning. - Shambhuraj Sawant; Akhil S. Anand; Dirk Reinhardt; Sebastien Gros (CoRR, 2023)

Model-based variable impedance learning control for robotic manipulation. - Akhil S. Anand; Jan Tommy Gravdahl; Fares J. Abu-Dakka (Robotics Auton. Syst., 2023)

Data-Efficient Reinforcement Learning for Variable Impedance Control. - Akhil S. Anand; Rituraj Kaushik; Jan Tommy Gravdahl; Fares J. Abu-Dakka (IEEE Access, 2024)

Economic Model Predictive Control as a Solution to Markov Decision Processes. - Dirk Reinhardt; Akhil S. Anand; Shambhuraj Sawant; Sebastien Gros (CoRR, 2024)

Application of Soft Actor-Critic algorithms in optimizing wastewater treatment with time delays integration. - Esmaeel Mohammadi; Daniel Ortiz Arroyo; Aviaja Anna Hansen; Mikkel Stokholm-Bjerregaard; Sébastien Gros; Akhil S. Anand; Petar Durdevic (Expert Syst. Appl., 2025)

All AI Models are Wrong, but Some are Optimal. - Akhil S. Anand; Shambhuraj Sawant; Dirk Reinhardt; Sebastien Gros (CoRR, 2025)

Mission-Aligned Learning-Informed Control of Autonomous Systems: Formulation and Foundations. - Vyacheslav Kungurtsev; Gustav Sir; Akhil S. Anand; Sebastien Gros; Haozhe Tian; Homayoun Hamedmoghadam (CoRR, 2025)