Gran Turismo 7

'Gran Turismo 7' is a dataset/benchmark used to evaluate the effectiveness of reward functions in reinforcement learning by providing a structured environment for testing and tuning these functions.

Papers using Gran Turismo 7 (3)

The Trajectory Alignment Coefficient in Two Acts: From Reward Tuning to Reward Learning2026Automated Reward Design for Gran Turismo2025A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo2024 · 3 cites