2025

• Sadanandan Anand, Akhil; Sawant, Shambhuraj Vijaysinh; Reinhardt, Dirk Peter; Gros, Sebastien Nicolas. (2025) Predicting What Matters: Training AI Models for Better Decisions. IEEE Transactions on Neural Networks and Learning Systems
  Academic article
• Mohammadi, Esmaeel; Ortiz-Arroyo, Daniel; Hansen, Aviaja Anna; Stokholm-Bjerregaard, Mikkel; Gros, Sebastien Nicolas; Sadanandan Anand, Akhil; Durdevic, Petar. (2025) Application of Soft Actor-Critic algorithms in optimizing wastewater treatment with time delays integration. Expert Systems With Applications
  Academic article

2024

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

2023

• Sadanandan Anand, Akhil; Gravdahl, Jan Tommy; Abu-Dakka, Fares J.. (2023) Model-based variable impedance learning control for robotic manipulation. Robotics and Autonomous Systems
  Academic article
• Bahari Kordabad, Arash; Reinhardt, Dirk Peter; Sadanandan Anand, Akhil; Gros, Sebastien Nicolas. (2023) Reinforcement Learning for MPC: Fundamentals and Current Challenges. IFAC-PapersOnLine
  Academic article
• Sadanandan Anand, Akhil; Reinhardt, Dirk Peter; Sawant, Shambhuraj Vijaysinh; Gravdahl, Jan Tommy; Gros, Sebastien Nicolas. (2023) A Painless Deterministic Policy Gradient Method for Learning-based MPC.
  Academic chapter

2022

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

2021

• Håkansson, Anne; Saad, Aya; Sadanandan Anand, Akhil; Gjærum, Vilde Benoni; Robinson, Haakon; Seel, Katrine. (2021) Robust Reasoning for Autonomous Cyber-Physical Systems in Dynamic Environments. Procedia Computer Science
  Academic article
• Sadanandan Anand, Akhil; Seel, Katrine; Gjærum, Vilde Benoni; Håkansson, Anne; Robinson, Haakon; Saad, Aya. (2021) Safe Learning for Control using Control Lyapunov Functions and Control Barrier Functions: A Review. Procedia Computer Science
  Academic article
• Sadanandan Anand, Akhil; Østvik, Andreas; Grøtli, Esten Ingar; Vagia, Marialena; Gravdahl, Jan Tommy. (2021) Real-time temporal adaptation of dynamic movement primitives for moving targets.
  Academic chapter

2019

• Sadanandan Anand, Akhil. (2019) A deep reinforcement learning based approach towards generating human walking behavior with a neuromuscular model. IEEE-RAS International Conference on Humanoid Robots
  Academic article