4 papers
Exploiting Over-Approximation Errors as Preview Information for Nonlinear Control
Antoine Aspeel, Antoine Girard, Thiago Alves Lima
We study the control of nonlinear constrained systems via over-approximations. Our key observation is that the over-approximation error, rather than being an unknown disturbance, c…
Active Reward Machine Inference From Raw State Trajectories
Mohamad Louai Shehab, Antoine Aspeel, Necmiye Ozay
Reward machines are automaton-like structures that capture the memory required to accomplish a multi-stage task. When combined with reinforcement learning or optimal control method…
Learning Reward Machines from Partially Observed Policies
Mohamad Louai Shehab, Antoine Aspeel, Necmiye Ozay
Inverse reinforcement learning is the problem of inferring a reward function from an optimal policy or demonstrations by an expert. In this work, it is assumed that the reward is e…
Mode-Prefix-Based Control of Switched Linear Systems with Applications to Fault Tolerance
Ram Padmanabhan, Antoine Aspeel, Necmiye Ozay +1
In this paper, we consider the problem of designing prefix-based optimal controllers for switched linear systems over finite horizons. This problem arises in fault-tolerant control…