7 datasets found

The dataset used in the paper is a reinforcement learning dataset, specifically for time-limited tasks and time-unlimited tasks.

The dataset used in the paper is a reinforcement learning problem with arbitrary convex constraints.

The dataset used in the paper is a reinforcement learning dataset, where the goal is to learn a policy that maximizes the expected return in a Markov decision process.

The authors propose a multi-objective neural architecture search using reinforcement learning.

The dataset used in the paper is a Markov Decision Process, where states can take values in a state space X, corresponding to a state x ∈ X, we can take an action u ∈ U,...

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...