Cover Image

Automated Reward Design for Gran Turismo

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ma, Michel, Seno, Takuma, Subramanian, Kaushik, Wurman, Peter R., Stone, Peter, Sherstan, Craig
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo
by: Vasco, Miguel, et al.
Published: (2024)

A Champion-level Vision-based Reinforcement Learning Agent for Competitive Racing in Gran Turismo 7
by: Lee, Hojoon, et al.
Published: (2025)

SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning
by: Lee, Hojoon, et al.
Published: (2024)

Out-of-Distribution Generalization with a SPARC: Racing 100 Unseen Vehicles with a Single Policy
by: Grooten, Bram, et al.
Published: (2025)

The Trajectory Alignment Coefficient in Two Acts: From Reward Tuning to Reward Learning
by: Muslimani, Calarina, et al.
Published: (2026)

Adaptive Splitting of Reusable Temporal Monitors for Rare Traffic Violations
by: Innes, Craig, et al.
Published: (2024)

MusicSynth: An Automated Pipeline for Generating Violin Fingerboard Animations from Sheet Music Using Optical Music Recognition
by: Kaushik, Abhimanyu
Published: (2026)

Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents
by: Rahman, Arrasy, et al.
Published: (2023)

RF-Agent: Automated Reward Function Design via Language Agent Tree Search
by: Gao, Ning, et al.
Published: (2026)

An Automated Reinforcement Learning Reward Design Framework with Large Language Model for Cooperative Platoon Coordination
by: Wei, Dixiao, et al.
Published: (2025)

A new proof of non-Cohen-Macaulayness of Bertin's example
by: Seno, Takuma
Published: (2025)

Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft
by: Li, Hao, et al.
Published: (2023)

Combining Automated Optimisation of Hyperparameters and Reward Shape
by: Dierkes, Julian, et al.
Published: (2024)

Boosting Universal LLM Reward Design through Heuristic Reward Observation Space Evolution
by: Heng, Zen Kit, et al.
Published: (2025)

Multilinguality in LLM-Designed Reward Functions for Restless Bandits: Effects on Task Performance and Fairness
by: Parthasarathy, Ambreesh, et al.
Published: (2025)

GACL: Grounded Adaptive Curriculum Learning with Active Task and Performance Monitoring
by: Wang, Linji, et al.
Published: (2025)

Grounded Curriculum Learning
by: Wang, Linji, et al.
Published: (2024)

Deep Reinforcement Learning in Parameterized Action Space
by: Hausknecht, Matthew, et al.
Published: (2015)

Automating Reformulation of Essence Specifications via Graph Rewriting
by: Miguel, Ian, et al.
Published: (2024)

Learning from Demonstration with Implicit Nonlinear Dynamics Models
by: Fagan, Peter David, et al.
Published: (2024)

Tiered Reward: Designing Rewards for Specification and Fast Learning of Desired Behavior
by: Zhou, Zhiyuan, et al.
Published: (2022)

SLAC: Simulation-Pretrained Latent Action Space for Whole-Body Real-World RL
by: Hu, Jiaheng, et al.
Published: (2025)

Proto Successor Measure: Representing the Behavior Space of an RL Agent
by: Agarwal, Siddhant, et al.
Published: (2024)

Self-Consistency of the Internal Reward Models Improves Self-Rewarding Language Models
by: Zhou, Xin, et al.
Published: (2025)

EvoNav: Evolutionary Reward Function Design for Robot Navigation with Large Language Models
by: Zhao, Zhikai, et al.
Published: (2026)

Automated Design of Agentic Systems
by: Hu, Shengran, et al.
Published: (2024)

t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making
by: Yue, William, et al.
Published: (2024)

DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning
by: Diaz-Bone, Leander, et al.
Published: (2025)

Robust Reward Design for Markov Decision Processes
by: Wu, Shuo, et al.
Published: (2024)

L3M+P: Lifelong Planning with Large Language Models
by: Agarwal, Krish, et al.
Published: (2025)

Towards Improving Reward Design in RL: A Reward Alignment Metric for RL Practitioners
by: Muslimani, Calarina, et al.
Published: (2025)

Reward-free Alignment for Conflicting Objectives
by: Chen, Peter, et al.
Published: (2026)

Multi-Agent Collaborative Reward Design for Enhancing Reasoning in Reinforcement Learning
by: Yang, Pei, et al.
Published: (2025)

Towards Socially and Morally Aware RL agent: Reward Design With LLM
by: Wang, Zhaoyue
Published: (2024)

Reward Design for Justifiable Sequential Decision-Making
by: Sukovic, Aleksa, et al.
Published: (2024)

SECURE: Semantics-aware Embodied Conversation under Unawareness for Lifelong Robot Learning
by: Rubavicius, Rimvydas, et al.
Published: (2024)

Representation Stability in a Minimal Continual Learning Agent
by: Subramanian, Vishnu
Published: (2026)

Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning
by: Huang, Changxin, et al.
Published: (2025)

Human-centric Reward Optimization for Reinforcement Learning-based Automated Driving using Large Language Models
by: Zhou, Ziqi, et al.
Published: (2024)

ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization
by: Zhang, Chen Bo Calvin, et al.
Published: (2024)