8 datasets found

A dataset of KGS 0.5-komi games, used to train the value network.

A dataset of KGS 6.5-komi games, used to train the value network.

A dataset of KGS 7.5-komi games, used to train the value network.

Four DRL agents were trained on the games MsPacman (simplified to Pac-Man), Space Invaders, Frostbite, and Breakout using the Deep Q-Network (DQN) implementation of the OpenAI...

The dataset used in this paper is the OpenAI Gym Environment dataset, which consists of various games and environments.

The dataset used in this paper is the Atari 2600 games dataset, which consists of 50 Atari 2600 games.

The dataset used in this paper is a collection of state-action pairs generated by a pre-trained RL agent, used to train a self-supervised interpretable network (SSINet) to...

PyBullet is a python module for physics simulation for games, robotics and machine learning.