Atari-5

Atari-5 is a benchmark dataset that consists of five Atari 2600 games used to evaluate the performance of reinforcement learning algorithms.

Papers using Atari-5 (2)

Understanding and Improving Hyperbolic Deep Reinforcement Learning2025Flow Models for Unbounded and Geometry-Aware Distributional Reinforcement Learning2025