Anastasios M. Lekkas

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 35

Top Topics

Optimal Control

Reinforcement Learning

Trajectory Planning

Top Venues

IEEE Trans. Control. Syst. Technol.

Publications

Kristoffer Eikså, Jan Erlend Vatne, Anastasios M. Lekkas
Explaining Deep Reinforcement Learning Policies with SHAP, Decision Trees, and Prototypes. MED (2024)
Sindre Benjamin Remman, Bjørn Andreas Kristiansen, Anastasios M. Lekkas
Deep Reinforcement Learning Behavioral Mode Switching Using Optimal Control Based on a Latent Space Objective. MED (2024)
Sindre Benjamin Remman, Anastasios M. Lekkas
Discovering Behavioral Modes in Deep Reinforcement Learning Policies Using Trajectory Clustering in Latent Space. CoRR (2024)
Sindre Benjamin Remman, Bjørn Andreas Kristiansen, Anastasios M. Lekkas
Deep Reinforcement Learning Behavioral Mode Switching Using Optimal Control Based on a Latent Space Objective. CoRR (2024)
Camilla Fruzzetti, Michele Martelli, Anastasios M. Lekkas, Roger Skjetne, Morten Breivik
Model-Based Motion Control Design for the Milliampere1 Prototype Ferry. ECC (2024)
Vilde B. Gjærum, Inga Strümke, Jakob Løver, Timothy Miller, Anastasios M. Lekkas
Model tree methods for explaining deep reinforcement learning agents in real-time robotic applications. Neurocomputing 515 (2023)
Simon J. N. Simonlexau, Morten Breivik, Anastasios M. Lekkas
Automated Docking for Marine Surface Vessels - A Survey. IEEE Access 11 (2023)
Andreas B. Martinsen, Anastasios M. Lekkas, Sébastien Gros
Optimal Model-Based Trajectory Planning With Static Polygonal Constraints. IEEE Trans. Control. Syst. Technol. 30 (3) (2022)
Vilde B. Gjærum, Inga Strümke, Ole Andreas Alsos, Anastasios M. Lekkas
Explaining a Deep Reinforcement Learning Docking Agent Using Linear Model Trees with User Adapted Visualization. CoRR (2022)
Vilde B. Gjærum, Ella-Lovise H. Rørvik, Anastasios M. Lekkas
Approximating a deep reinforcement learning docking agent using linear model trees. CoRR (2022)
Vilde B. Gjærum, Inga Strümke, Anastasios M. Lekkas, Tim Miller
Real-Time Counterfactual Explanations For Robotic Systems With Multiple Continuous Outputs. CoRR (2022)
Sindre Benjamin Remman, Inga Strümke, Anastasios M. Lekkas
Causal versus Marginal Shapley Values for Robotic Lever Manipulation Controlled using Deep Reinforcement Learning. ACC (2022)
Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Anastasios M. Lekkas, Sébastien Gros
Reinforcement Learning based on Scenario-tree MPC for ASVs. CoRR (2021)
Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Anastasios M. Lekkas, Sébastien Gros
Reinforcement Learning based on Scenario-tree MPC for ASVs. ACC (2021)
Sindre Benjamin Remman, Anastasios M. Lekkas
Robotic Lever Manipulation using Hindsight Experience Replay and Shapley Additive Explanations. ECC (2021)
Wenqi Cai, Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Anastasios M. Lekkas, Sébastien Gros
MPC-based Reinforcement Learning for a Simplified Freight Mission of Autonomous Surface Vehicles. CDC (2021)
Glenn Bitar, Bjørn-Olav H. Eriksen, Anastasios M. Lekkas, Morten Breivik
Three-Phase Automatic Crossing for a Passenger Ferry With Field Trials. ECC (2021)
Wenqi Cai, Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Anastasios M. Lekkas, Sebastien Gros
MPC-based Reinforcement Learning for a Simplified Freight Mission of Autonomous Surface Vehicles. CoRR (2021)
Sindre Benjamin Remman, Anastasios M. Lekkas
Robotic Lever Manipulation using Hindsight Experience Replay and Shapley Additive Explanations. CoRR (2021)
Sindre Benjamin Remman, Inga Strümke, Anastasios M. Lekkas
Causal versus Marginal Shapley Values for Robotic Lever Manipulation Controlled using Deep Reinforcement Learning. CoRR (2021)
Andreas B. Martinsen, Anastasios M. Lekkas
Two Space-Time Obstacle Representations Based on Ellipsoids and Polytopes. IEEE Access 9 (2021)
Vilde B. Gjærum, Ella-Lovise H. Rørvik, Anastasios M. Lekkas
Approximating a deep reinforcement learning docking agent using linear model trees. ECC (2021)
Andreas B. Martinsen, Anastasios M. Lekkas, Sebastien Gros
Combining system identification with reinforcement learning-based MPC. CoRR (2020)
Emil H. Thyri, Erlend A. Basso, Morten Breivik, Kristin Ytterstad Pettersen, Roger Skjetne, Anastasios M. Lekkas
Reactive collision avoidance for ASVs based on control barrier functions. CCTA (2020)
Andreas B. Martinsen, Glenn Bitar, Anastasios M. Lekkas, Sébastien Gros
Optimization-Based Automatic Docking and Berthing of ASVs Using Exteroceptive Sensors: Theory and Experiments. IEEE Access 8 (2020)
Andreas B. Martinsen, Anastasios M. Lekkas, Sébastien Gros, Jon Arne Glomsrud, Tom Arne Pedersen
Reinforcement Learning-Based Tracking Control of USVs in Varying Operational Conditions. Frontiers Robotics AI 7 (2020)
Bjørn-Olav H. Eriksen, Glenn Bitar, Morten Breivik, Anastasios M. Lekkas
Hybrid Collision Avoidance for ASVs Compliant With COLREGs Rules 8 and 13-17. Frontiers Robotics AI 7 (2020)
Glenn Bitar, Andreas B. Martinsen, Anastasios M. Lekkas, Morten Breivik
Trajectory Planning and Control for Automatic Docking of ASVs with Full-Scale Experiments. CoRR (2020)
Andreas B. Martinsen, Anastasios M. Lekkas, Sebastien Gros
Optimal model-based trajectory planning with static polygonal constraints. CoRR (2020)
Glenn Bitar, Andreas B. Martinsen, Anastasios M. Lekkas, Morten Breivik
Two-Stage Optimized Trajectory Planning for ASVs Under Polygonal Obstacle Constraints: Theory and Experiments. IEEE Access 8 (2020)
Andreas B. Martinsen, Anastasios M. Lekkas, Sebastien Gros
Autonomous docking using direct optimal control. CoRR (2019)
Glenn Bitar, Vegard N. Vestad, Anastasios M. Lekkas, Morten Breivik
Warm-Started Optimized Trajectory Planning for ASVs. CoRR (2019)
Bjørn-Olav H. Eriksen, Glenn Bitar, Morten Breivik, Anastasios M. Lekkas
Hybrid Collision Avoidance for ASVs Compliant with COLREGs Rules 8 and 13-17. CoRR (2019)
Glenn Bitar, Bjørn-Olav H. Eriksen, Anastasios M. Lekkas, Morten Breivik
Energy-Optimized Hybrid Collision Avoidance for ASVs. ECC (2019)
Glenn Bitar, Anastasios M. Lekkas, Morten Breivik
Improvements to Warm-Started Optimized Trajectory Planning for ASVs. CoRR (2019)
Anastasios M. Lekkas, Thor I. Fossen
Trajectory tracking and ocean current estimation for marine underactuated vehicles. CCA (2014)
Anastasios M. Lekkas, Thor I. Fossen
Minimization of cross-track and along-track errors for path tracking of marine underactuated vehicles. ECC (2014)
Anastasios M. Lekkas, Thor I. Fossen
Integral LOS Path Following for Curved Paths Based on a Monotone Cubic Hermite Spline Parametrization. IEEE Trans. Control. Syst. Technol. 22 (6) (2014)