8 datasets found

The dataset used in the paper is a collection of autonomous vehicle scenarios, where each scenario is represented as a 3x3 grid encoding. The scenarios are encoded using Pauli-X...

The dataset used in the paper is a collection of tic-tac-toe games, where each game is represented as a 9-qubit encoding. The games are encoded using Pauli-X rotations on...

The dataset used for the game 'Catch' task, consisting of 28x28 binary pixel images.

DMLab-30 is a benchmark for multitask reinforcement learning in partially observable environments.

The TorchCraft dataset is a collection of games played by a reinforcement learning agent, which can be used to train and evaluate reinforcement learning algorithms.

The GameCLR dataset is a custom dataset created for testing the GameCLR technique for learning game state representations.

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 CARLA dataset is a complex urban-like environment with multi-agent dynamics, pedestrians, intersections, cross-traffic, roundabout, and changing weather conditions.