198 datasets found

MuZero, a model-based reinforcement learning algorithm that uses a value equivalent dynamics model.

The Google Research Football environment is a reinforcement learning experimental platform focused on training agents to play football.

The dataset is used for training a neural network consisting of 2 blocks of convolutional layers followed by max pooling layers and an LSTM block.

The dataset used in the Generative Adversarial Exploration for Reinforcement Learning paper.

The dataset used in the Generative Adversarial Exploration for Reinforcement Learning paper.

The dataset used in the paper is the Atari 2600 dataset, which consists of 49 games. The dataset is used to test the Successor Uncertainties algorithm.

The dataset used in the paper is a set of environments for reinforcement learning, including CartPole, Pendulum, and LunarLander.

The dataset used for training the Dreamer model.

The MineCLIP dataset is a large-scale dataset of Minecraft demonstrations.

The dataset used for training the dm_control environment.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a combination of reinforcement learning and generative models to solve...

Patch-based attacks introduce a perceptible but localized change to the input that induces misclassification. A limitation of cur- rent patch-based black-box attacks is that they...

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the BSuite environment for the Umbrella-Length task.

The dataset used in the paper is not explicitly described. However, it is mentioned that the authors used a language model to optimize the performance of a reinforcement...

The dataset used in the paper is Metadrive, a driving simulator.

The dataset used in the paper is not explicitly described. However, it is mentioned that the authors used Atari environments and board games to evaluate the proposed algorithm.

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 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 Wizard dataset is a trick-taking game with 4 players, consisting of 15 rounds. Each round consists of a dealing, bidding, playing, and evaluation phase.

The dataset used in the paper is Atari57.