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The Arcade Learning Environment: An Evaluation Platform for General Agents
The Arcade Learning Environment (ALE) is a lasting and indispensable element of the RL researcher’s toolbox. It is also the focus of our work. Since its inception, hundreds of... -
OpenAI Gym and Atari games
The dataset used in the paper is not explicitly described, but it is mentioned that the authors conducted experiments on several representative tasks from the OpenAI Gym and... -
The Arcade Learning Environment
The Arcade Learning Environment -
Car Racing game dataset
The dataset used in this paper is the Car Racing game dataset, which consists of pixel frames of a car racing game. -
OpenAI Gym Environment dataset
The dataset used in this paper is the OpenAI Gym Environment dataset, which consists of various games and environments. -
Atari 2600 games dataset
The dataset used in this paper is the Atari 2600 games dataset, which consists of 50 Atari 2600 games. -
TorchCraft
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. -
Bootstrapped DQN
The Bootstrapped DQN dataset is a collection of 49 Atari games. -
Incentivizing Exploration in Atari
The Incentivizing Exploration in Atari dataset is a collection of 49 Atari games. -
Arcade Learning Environment
The Arcade Learning Environment (ALE) dataset is a collection of 49 Atari games. -
Atari 2600 domain
The Atari 2600 domain dataset, used for training and testing reinforcement learning algorithms. -
Rainbow dataset
The dataset used in the paper is the Rainbow dataset, which is a combination of six extensions to the DQN algorithm. -
GameCLR Dataset
The GameCLR dataset is a custom dataset created for testing the GameCLR technique for learning game state representations. -
Dynamic Frame Skip Deep Q-Network (DFDQN) dataset
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. -
Deep Q-Network (DQN) dataset
The dataset used in the paper is the Deep Q-Network (DQN) dataset, which consists of 15 classic Atari games.
