Abstract: For the discrete-time multi-leader system, this paper proposes a two-stage value iteration to fit complex optimal solutions in Bellman equations of multi-leader and realize the tracking ...

Which classic motors are currently representing the very best value with attainable prices and could be on the verge of ...

Which classic motors are currently representing the very best value with attainable prices and could be on the verge of ...

Abstract: This work evaluates the effectiveness of entropy-regularized Reinforcement Learning (RL) by contrasting Soft Value Iteration with conventional Bellman-based approaches. Based on the Maximum ...