Akhil S. Anand

19 papers B 2C 1Journal 11Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	All AI Models are Wrong, but Some are Optimal. CoRR Akhil S. Anand, Shambhuraj Sawant, Dirk Reinhardt, Sebastien Gros
2025	J	`jnl`	Application of Soft Actor-Critic algorithms in optimizing wastewater treatment with time delays integration. Expert Syst. Appl. Esmaeel Mohammadi, Daniel Ortiz Arroyo, Aviaja Anna Hansen, Mikkel Stokholm-Bjerregaard, Sébastien Gros, Akhil S. Anand, Petar Durdevic
2025	J	`jnl`	CORL: Reinforcement Learning of MILP Policies Solved via Branch and Bound. CoRR Akhil S. Anand, Elias Aarekol, Martin Mziray Dalseg, Magnus Stålhane, Sebastien Gros
2025	J	`jnl`	Closing the Sim2Real Performance Gap in RL. CoRR Akhil S. Anand, Shambhuraj Sawant, Jasper Hoffmann, Dirk Reinhardt, Sebastien Gros
2025	J	`jnl`	Mission-Aligned Learning-Informed Control of Autonomous Systems: Formulation and Foundations. CoRR Vyacheslav Kungurtsev, Gustav Sir, Akhil S. Anand, Sebastien Gros, Haozhe Tian, Homayoun Hamedmoghadam
2024	J	`jnl`	Application of Soft Actor-Critic Algorithms in Optimizing Wastewater Treatment with Time Delays Integration. CoRR Esmaeel Mohammadi, Daniel Ortiz Arroyo, Aviaja Anna Hansen, Mikkel Stokholm-Bjerregaard, Sebastien Gros, Akhil S. Anand, Petar Durdevic
2024	J	`jnl`	Data-Efficient Reinforcement Learning for Variable Impedance Control. IEEE Access Akhil S. Anand, Rituraj Kaushik, Jan Tommy Gravdahl, Fares J. Abu-Dakka
2024	J	`jnl`	Economic Model Predictive Control as a Solution to Markov Decision Processes. CoRR Dirk Reinhardt, Akhil S. Anand, Shambhuraj Sawant, Sebastien Gros
2023	—	`conf`	A Painless Deterministic Policy Gradient Method for Learning-based MPC. ECC Akhil S. Anand, Dirk Reinhardt, Shambhuraj Sawant, Jan Tommy Gravdahl, Sebastien Gros
2023	J	`jnl`	Learning-based MPC from Big Data Using Reinforcement Learning. CoRR Shambhuraj Sawant, Akhil S. Anand, Dirk Reinhardt, Sebastien Gros
2023	—	`—`	Model-based Reinforcement Learning for Variable Impedance Control. Akhil S. Anand
2023	J	`jnl`	Model-based variable impedance learning control for robotic manipulation. Robotics Auton. Syst. Akhil S. Anand, Jan Tommy Gravdahl, Fares J. Abu-Dakka
2022	C	`conf`	Addressing Sample Efficiency and Model-bias in Model-based Reinforcement Learning. ICMLA Akhil S. Anand, Jens Erik Kveen, Fares J. Abu-Dakka, Esten Ingar Grøtli, Jan Tommy Gravdahl
2022	J	`jnl`	Deep Model Predictive Variable Impedance Control. CoRR Akhil S. Anand, Fares J. Abu-Dakka, Jan Tommy Gravdahl
2022	—	`conf`	Evaluation of Variable Impedance- and Hybrid Force/MotionControllers for Learning Force Tracking Skills. SII Akhil S. Anand, Martin Hagen Myrestrand, Jan Tommy Gravdahl
2021	—	`conf`	Real-time temporal adaptation of dynamic movement primitives for moving targets. ICAR Akhil S. Anand, Andreas Østvik, Esten Ingar Grøtli, Marialena Vagia, Jan Tommy Gravdahl
2021	B	`conf`	Robust Reasoning for Autonomous Cyber-Physical Systems in Dynamic Environments. KES Anne Håkansson, Aya Saad, Akhil S. Anand, Vilde B. Gjærum, Haakon Robinson, Katrine Seel
2021	B	`conf`	Safe Learning for Control using Control Lyapunov Functions and Control Barrier Functions: A Review. KES Akhil S. Anand, Katrine Seel, Vilde B. Gjærum, Anne Håkansson, Haakon Robinson, Aya Saad
2019	—	`conf`	A deep reinforcement learning based approach towards generating human walking behavior with a neuromuscular model. Humanoids Akhil S. Anand, Guoping Zhao, Hubert Roth, André Seyfarth