Imagen de Portada

α-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kalaria, Dvij, Maheshwari, Chinmay, Sastry, Shankar
Formato:	Preprint
Publicado:	2024
Materias:	Robotics Computer Science and Game Theory
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Game-to-Real Gap: Quantifying the Effect of Model Misspecification in Network Games
por: Ferguson, Bryce L., et al.
Publicado: (2026)

NePPO: Near-Potential Policy Optimization for General-Sum Multi-Agent Reinforcement Learning
por: Kalanther, Addison, et al.
Publicado: (2026)

Markov $α$-Potential Games
por: Guo, Xin, et al.
Publicado: (2023)

Dynamic Multi-Robot Task Allocation under Uncertainty and Communication Constraints: A Game-Theoretic Approach
por: Mendoza, Maria G., et al.
Publicado: (2026)

Search-Based Autonomous Vehicle Motion Planning Using Game Theory
por: Panahandeh, Pouya, et al.
Publicado: (2025)

Convergence of Decentralized Actor-Critic Algorithm in General-sum Markov Games
por: Maheshwari, Chinmay, et al.
Publicado: (2024)

Independent and Decentralized Learning in Markov Potential Games
por: Maheshwari, Chinmay, et al.
Publicado: (2022)

Adaptive Incentive Design with Learning Agents
por: Maheshwari, Chinmay, et al.
Publicado: (2024)

Stackelberg Game-Theoretic Learning for Collaborative Assembly Task Planning
por: Zhao, Yuhan, et al.
Publicado: (2024)

Strategizing at Speed: A Learned Model Predictive Game for Multi-Agent Drone Racing
por: Papuc, Andrei-Carlo, et al.
Publicado: (2026)

Integrated Decision Making and Trajectory Planning for Autonomous Driving Under Multimodal Uncertainties: A Bayesian Game Approach
por: Huang, Zhenmin, et al.
Publicado: (2024)

Decision Making in Urban Traffic: A Game Theoretic Approach for Autonomous Vehicles Adhering to Traffic Rules
por: Shu, Keqi, et al.
Publicado: (2025)

Non-Normalized Solutions of Generalized Nash Equilibrium in Autonomous Racing
por: Pustilnik, Mark, et al.
Publicado: (2025)

Vector Cost Behavioral Planning for Autonomous Robotic Systems with Contemporary Validation Strategies
por: Toaz, Benjamin R., et al.
Publicado: (2025)

Open-Loop and Feedback Nash Trajectories for Competitive Racing with iLQGames
por: Rowold, Matthias, et al.
Publicado: (2024)

Intention Communication and Hypothesis Likelihood in Game-Theoretic Motion Planning
por: Chahine, Makram, et al.
Publicado: (2022)

Fair Play in the Fast Lane: Integrating Sportsmanship into Autonomous Racing Systems
por: Huang, Zhenmin, et al.
Publicado: (2025)

Follower Agnostic Methods for Stackelberg Games
por: Maheshwari, Chinmay, et al.
Publicado: (2023)

Vector Cost Bimatrix Games with Applications to Autonomous Racing
por: Toaz, Benjamin R., et al.
Publicado: (2025)

Deadlock-free, Safe, and Decentralized Multi-Robot Navigation in Social Mini-Games via Discrete-Time Control Barrier Functions
por: Chandra, Rohan, et al.
Publicado: (2023)

Efficiently Solving Mixed-Hierarchy Games with Quasi-Policy Approximations
por: Khan, Hamzah, et al.
Publicado: (2026)

Multi-Robot Coordination Induced in an Adversarial Graph-Traversal Game
por: Berneburg, James, et al.
Publicado: (2024)

Why Open Source? A Game-Theoretic Analysis of the AI Race
por: Mladenovic, Andjela, et al.
Publicado: (2026)

Disturbance Observer-based Control Barrier Functions with Residual Model Learning for Safe Reinforcement Learning
por: Kalaria, Dvij, et al.
Publicado: (2024)

Patrol Security Game: Defending Against Adversary with Freedom in Attack Timing, Location, and Duration
por: Yang, Hao-Tsung, et al.
Publicado: (2024)

Secure Planning Against Stealthy Attacks via Model-Free Reinforcement Learning
por: Bozkurt, Alper Kamil, et al.
Publicado: (2020)

Stochastic Games for Interactive Manipulation Domains
por: Muvvala, Karan, et al.
Publicado: (2024)

MR-LDM -- The Merge-Reactive Longitudinal Decision Model: Game Theoretic Human Decision Modeling for Interactive Sim Agents
por: Holley, Dustin, et al.
Publicado: (2025)

Multi-agent Reach-avoid MDP via Potential Games and Low-rank Policy Structure
por: Casselman, Adam, et al.
Publicado: (2024)

Bayesian Inverse Games with High-Dimensional Multi-Modal Observations
por: Jain, Yash, et al.
Publicado: (2026)

Evader-Agnostic Team-Based Pursuit Strategies in Partially-Observable Environments
por: Kalanther, Addison, et al.
Publicado: (2025)

Pontryagin Neural Operator for Solving Parametric General-Sum Differential Games
por: Zhang, Lei, et al.
Publicado: (2024)

Regulation-Aware Game-Theoretic Motion Planning for Autonomous Racing
por: Prignoli, Francesco, et al.
Publicado: (2025)

Value Approximation for Two-Player General-Sum Differential Games with State Constraints
por: Zhang, Lei, et al.
Publicado: (2023)

Fast Rates in $α$-Potential Games via Regularized Mirror Descent
por: Chen, Claire, et al.
Publicado: (2026)

Frequency Point Game Environment for UAVs via Expert Knowledge and Large Language Model
por: Yang, Jingpu, et al.
Publicado: (2025)

GUARD: Constructing Realistic Two-Player Matrix and Security Games for Benchmarking Game-Theoretic Algorithms
por: Krever, Noah, et al.
Publicado: (2025)

Hierarchical Control for Cooperative Teams in Competitive Autonomous Racing
por: Thakkar, Rishabh Saumil, et al.
Publicado: (2022)

$α$-Potential Games for Decentralized Control of Connected and Automated Vehicles
por: Di, Xuan, et al.
Publicado: (2025)

Congestion Pricing for Efficiency and Equity: Theory and Applications to the San Francisco Bay Area
por: Maheshwari, Chinmay, et al.
Publicado: (2024)