7 datasets found

The dataset used in the Temporally Layered Architecture (TLA) for adaptive, distributed and continuous control.

The dataset used for the cart-pole problem is a finite set of states: S, a finite set of actions: A, a state transition probability matrix, P, a reward function R, and a...

The dataset used in the paper is an Inverted Pendulum dataset, which is a standard benchmark system in control and reinforcement learning.

The cart-pole problem is a classic control problem in robotics and control theory. It is a continuous control problem where the goal is to keep the pole upright by applying a...

The DeepMind Control Suite is a collection of 20 robotic manipulation tasks, each with 5 different environments and 5 different robot parameters. The tasks are designed to test...

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used several continuous control environments from the OpenAI Gym.

The CartPole problem is a classic control problem in robotics and control theory. It is a simple, continuous control problem where a pole is attached to a mass on a cart, and...