ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2011.03748
  4. Cited By
B-GAP: Behavior-Rich Simulation and Navigation for Autonomous Driving
v1v2v3v4v5v6 (latest)

B-GAP: Behavior-Rich Simulation and Navigation for Autonomous Driving

7 November 2020
A. Mavrogiannis
Rohan Chandra
Tianyi Zhou
ArXiv (abs)PDFHTML

Papers citing "B-GAP: Behavior-Rich Simulation and Navigation for Autonomous Driving"

15 / 15 papers shown
Are LLMs The Way Forward? A Case Study on LLM-Guided Reinforcement Learning for Decentralized Autonomous Driving
Are LLMs The Way Forward? A Case Study on LLM-Guided Reinforcement Learning for Decentralized Autonomous DrivingIEEE Transactions on Artificial Intelligence (IEEE TAI), 2025
Timur Anvar
Jeffrey Chen
Yuyan Wang
Rohan Chandra
166
0
0
16 Nov 2025
Prompt-Driven Domain Adaptation for End-to-End Autonomous Driving via In-Context RL
Prompt-Driven Domain Adaptation for End-to-End Autonomous Driving via In-Context RL
Aleesha Khurram
Amir Moeini
Shangtong Zhang
Rohan Chandra
135
0
0
16 Nov 2025
Multi-Robot Navigation in Social Mini-Games: Definitions, Taxonomy, and Algorithms
Multi-Robot Navigation in Social Mini-Games: Definitions, Taxonomy, and Algorithms
Rohan Chandra
Shubham Singh
Abhishek Jha
Dannon Andrade
344
3
0
19 Aug 2025
LIVEPOINT: Fully Decentralized, Safe, Deadlock-Free Multi-Robot Control in Cluttered Environments with High-Dimensional Inputs
LIVEPOINT: Fully Decentralized, Safe, Deadlock-Free Multi-Robot Control in Cluttered Environments with High-Dimensional Inputs
Jeffrey Chen
Rohan Chandra
301
4
0
17 Mar 2025
Mix Q-learning for Lane Changing: A Collaborative Decision-Making Method in Multi-Agent Deep Reinforcement Learning
Mix Q-learning for Lane Changing: A Collaborative Decision-Making Method in Multi-Agent Deep Reinforcement LearningIEEE Transactions on Vehicular Technology (IEEE Trans. Veh. Technol.), 2024
Xiaojun Bi
Mingjie He
Yiwen Sun
241
11
0
14 Jun 2024
GAMEOPT+: Improving Fuel Efficiency in Unregulated Heterogeneous Traffic
  Intersections via Optimal Multi-agent Cooperative Control
GAMEOPT+: Improving Fuel Efficiency in Unregulated Heterogeneous Traffic Intersections via Optimal Multi-agent Cooperative Control
Nilesh Suriyarachchi
Rohan Chandra
Arya Anantula
John S. Baras
Dinesh Manocha
252
7
0
26 May 2024
Transfer-LMR: Heavy-Tail Driving Behavior Recognition in Diverse Traffic
  Scenarios
Transfer-LMR: Heavy-Tail Driving Behavior Recognition in Diverse Traffic Scenarios
Chirag Parikh
Ravi Shankar Mishra
Rohan Chandra
Ravi Kiran Sarvadevabhatla
266
2
0
08 May 2024
LitSim: A Conflict-aware Policy for Long-term Interactive Traffic
  Simulation
LitSim: A Conflict-aware Policy for Long-term Interactive Traffic Simulation
Haojie Xin
Xiaodong Zhang
Renzhi Tang
Songyang Yan
Qianrui Zhao
Chunze Yang
Wen Cui
Zijiang Yang
303
4
0
07 Mar 2024
Decision-Making for Autonomous Vehicles with Interaction-Aware
  Behavioral Prediction and Social-Attention Neural Network
Decision-Making for Autonomous Vehicles with Interaction-Aware Behavioral Prediction and Social-Attention Neural NetworkIEEE Transactions on Control Systems Technology (IEEE TCST), 2023
Xiao Li
Kaiwen Liu
H. E. Tseng
Anouck Girard
Ilya Kolmanovsky
354
4
0
31 Oct 2023
Data-driven Traffic Simulation: A Comprehensive Review
Data-driven Traffic Simulation: A Comprehensive ReviewIEEE Transactions on Intelligent Vehicles (TIV), 2023
Di Chen
Meixin Zhu
Heng Yang
Xuesong Wang
Yinhai Wang
394
65
0
24 Oct 2023
A Two-stage Based Social Preference Recognition in Multi-Agent
  Autonomous Driving System
A Two-stage Based Social Preference Recognition in Multi-Agent Autonomous Driving SystemIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Jintao Xue
Dongkun Zhang
Rong Xiong
Yue Wang
Eryun Liu
297
1
0
05 Oct 2023
Interaction-Aware Decision-Making for Autonomous Vehicles in Forced
  Merging Scenario Leveraging Social Psychology Factors
Interaction-Aware Decision-Making for Autonomous Vehicles in Forced Merging Scenario Leveraging Social Psychology FactorsAmerican Control Conference (ACC), 2023
Xiao Li
Kaiwen Liu
H. E. Tseng
Anouck Girard
Ilya Kolmanovsky
272
6
0
25 Sep 2023
iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed
  Multi-Agent Reinforcement Learning
iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning
Xiyang Wu
Rohan Chandra
Tianrui Guan
Amrit Singh Bedi
Tianyi Zhou
448
5
0
09 Jun 2023
SOCIALMAPF: Optimal and Efficient Multi-Agent Path Finding with
  Strategic Agents for Social Navigation
SOCIALMAPF: Optimal and Efficient Multi-Agent Path Finding with Strategic Agents for Social NavigationIEEE Robotics and Automation Letters (RA-L), 2022
Rohan Chandra
Rahul Maligi
Arya Anantula
Joydeep Biswas
281
29
0
15 Oct 2022
Analyzing Multiagent Interactions in Traffic Scenes via Topological
  Braids
Analyzing Multiagent Interactions in Traffic Scenes via Topological Braids
Christoforos Mavrogiannis
Jonathan A. DeCastro
S. Srinivasa
AI4CE
291
8
0
15 Sep 2021
1
Page 1 of 1