- Efficient Game|Theoretic Planning with Prediction Heuristic for ...🔍
- Efficient Game|Theoretic Planning With Prediction Heuristic for ...🔍
- [PDF] Efficient Game|Theoretic Planning With Prediction Heuristic ...🔍
- Game|Theoretic Planning for Autonomous Driving among Risk ...🔍
- Game Theoretic Forecasting and Planning🔍
- Game|Theoretic Motion Planning for Multi|Agent Interaction🔍
- Game Theory|Based Simultaneous Prediction and Planning for ...🔍
- Learning Online Belief Prediction for Efficient POMDP Planning in ...🔍
Efficient Game|Theoretic Planning with Prediction ...
Efficient Game-Theoretic Planning with Prediction Heuristic for ...
Title:Efficient Game-Theoretic Planning with Prediction Heuristic for Socially-Compliant Autonomous Driving ... Abstract:Planning under social ...
Efficient Game-Theoretic Planning With Prediction Heuristic for ...
In this letter, we introduce an efficient game-theoretic trajectory planning algorithm based on general MCTS by incorporating a prediction ...
[PDF] Efficient Game-Theoretic Planning With Prediction Heuristic ...
An efficient game-theoretic trajectory planning algorithm based on general MCTS by incorporating a prediction algorithm as a heuristic and a ...
Efficient Game-Theoretic Planning With Prediction Heuristic for ...
Request PDF | Efficient Game-Theoretic Planning With Prediction Heuristic for Socially-Compliant Autonomous Driving | Planning under social ...
Efficient Game-Theoretic Planning with Prediction Heuristic for ...
Request PDF | Efficient Game-Theoretic Planning with Prediction Heuristic for Socially-Compliant Autonomous Driving | Planning under social interactions ...
Game-Theoretic Planning for Autonomous Driving among Risk ...
The game-theoretic risk-sensitive planner uses the risk preference to model risk-aware interactions among human drivers and an autonomous vehicle in various ...
Game Theoretic Forecasting and Planning - Cornell University
Overview of our game-theoretic framework for joint forecasting and planning. The forecaster maximizes the performance difference between the generated plans ...
Game-Theoretic Motion Planning for Multi-Agent Interaction - AMR Lab
This vast modeling capacity makes dynamic game theory an attractive framework for autonomous planning in the presence of other agents. The goal of this project ...
Game Theory-Based Simultaneous Prediction and Planning for ...
Our primary contributions encompass the development of an efficient Nash equilibrium approximation, facilitating simultaneous prediction and planning outputs, ...
Efficient Game-Theoretic Planning with Prediction Heuristic for Socially-Compliant Autonomous Driving. Chenran Li, Tu Trinh, Letian Wang, Changliu Liu ...
Learning Online Belief Prediction for Efficient POMDP Planning in ...
Zhan, “Efficient game-theoretic planning with prediction heuristic for socially-compliant autonomous driving,” IEEE Robotics and Automation Letters, vol. 7 ...
Game-Theoretic Model Predictive Control with Data-Driven ...
The proposed controller is composed of three modules: 1) game-based op- ponents' trajectory predictor, 2) high-level race strategy plan- ner, and 3) MPC-based ...
Game theoretical trajectory planning enhances social acceptability ...
With respect to the former, game theory is able to perform motion prediction and anticipation of the behavior of other humans, typical of ...
[PDF] Game-Theoretic Planning for Self-Driving Cars in Multivehicle ...
An efficient game-theoretic trajectory planning algorithm based on general MCTS by incorporating a prediction algorithm as a heuristic and a social ...
Game-theoretic Modeling and Learning of Transformer-based ...
Therefore, we utilize the joint prediction model, which provides better prediction accuracy and computational efficiency, for planning tests. Table 1.
Game Theory–Based Parameter Tuning for Energy-Efficient Path ...
Game theory is also increasingly being used as a standalone technique for quickly solving optimization problems by converting them to roughly ...
Hierarchical Game-Theoretic Planning for Autonomous Vehicles
vehicle's planning should be geared towards efficiency and ... to inform the planning and predictions of the autonomous vehicle's low-level trajectory planner.
GameFormer | [ICCV'23] Game-theoretic modeling and learning of ...
[ICCV'23] Game-theoretic modeling and learning of Transformer-based interactive prediction and planning.
Interaction-Aware Game-Theoretic Motion Planning for Automated ...
In contrast to existing works in this field, we solve the prediction and planning problem simultaneously, which enables the generation of efficient behaviors ...
Multi-agent sensitivity enhanced iterative best response: A real-time ...
Presents a real-time game theoretic motion planning approach that enables an autonomous drone to race competitively against an arbitrary number of opponent ...