29 datasets found

The dataset used in the paper is the Dynamic Frame Skip Deep Q-Network (DFDQN) dataset, which consists of 3 Atari games: Seaquest, Space Invaders, and Alien.

The dataset used in the paper is the Deep Q-Network (DQN) dataset, which consists of 15 classic Atari games.

The Atari 57 benchmark is a collection of 57 Atari games, each with its own set of states and actions.

The dataset used in the paper is the Arcade Learning Environment (ALE) dataset, which consists of 57 classic Atari games.

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

StarCraft II minigames dataset used for hierarchical reinforcement learning with human expertise in subgoal selection

The dataset used in the paper is the Arcade Learning Environment (ALE) dataset, which includes an ATARI 2600 emulator and about 50 games.