Search Results for author:
Found 5 papers, 1 papers with code
Time-Optimal Control for High-Order Chain-of-Integrators Systems with Full State Constraints and Arbitrary Terminal States (Extended Version)
Time-optimal control for high-order chain-of-integrators systems with full state constraints and arbitrarily given terminal states remains a challenging problem in the optimal control theory domain, yet to be resolved.
Learning Predictive Safety Filter via Decomposition of Robust Invariant Set
This paper presents a theoretical framework that bridges the advantages of both RMPC and RL to synthesize safety filters for nonlinear systems with state- and action-dependent uncertainty.
Bridging the Gap between Newton-Raphson Method and Regularized Policy Iteration
We also show that a modified version of regularized policy iteration, i. e., with finite-step policy evaluation, is equivalent to inexact Newton method where the Newton iteration formula is solved with truncated iterations.
Robust Safe Reinforcement Learning under Adversarial Disturbances
To address this challenge, this paper proposes a robust safe reinforcement learning framework that tackles worst-case disturbances.
Safe Reinforcement Learning with Dual Robustness
To address this issue, we propose a systematic framework to unify safe RL and robust RL, including problem formulation, iteration scheme, convergence analysis and practical algorithm design.
