4 citations · 7 across the 10 of their papers we have counts for
4 papers · 1 filter
A novel agent with formal goal-reaching guarantees: an experimental study with a mobile robot
Grigory Yaremenko, Dmitrii Dobriborsci, Roman Zashchitin +3
Reinforcement Learning (RL) has been shown to be effective and convenient for a number of tasks in robotics. However, it requires the exploration of a sufficiently large number of…
Critic as Lyapunov function (CALF): a model-free, stability-ensuring agent
Pavel Osinenko, Grigory Yaremenko, Roman Zashchitin +3
This work presents and showcases a novel reinforcement learning agent called Critic As Lyapunov Function (CALF) which is model-free and ensures online environment, in other words,…
Combining model-predictive control and predictive reinforcement learning for stable quadrupedal robot locomotion
Vyacheslav Kovalev, Anna Shkromada, Henni Ouerdane +1
Stable gait generation is a crucial problem for legged robot locomotion as this impacts other critical performance factors such as, e.g. mobility over an uneven terrain and power c…
An experimental study of two predictive reinforcement learning methods and comparison with model-predictive control
Dmitrii Dobriborsci, Pavel Osinenko
Reinforcement learning (RL) has been successfully used in various simulations and computer games. Industry-related applications, such as autonomous mobile robot motion control, are…