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SAI Dataset
The dataset used for training the SAI agent, containing 7x7 Go games with multiple komi values. -
MineRL-v0 dataset
The MineRL-v0 dataset contains human demonstration data for tasks in Minecraft. -
MineRL BASALT competition
The MineRL BASALT competition dataset contains human demonstration data for four tasks in Minecraft. -
Breakout, SeaQuest, Space Invaders, and Qbert Environments
The dataset used in this work is the Breakout, SeaQuest, Space Invaders, and Qbert environments. -
Atari Environment
The dataset used in this work is the Atari environment in OpenAI Gym, created by the Arcade Learning Environment (ALE). -
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... -
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.
