Neeloy Chakraborty

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Multiagent Reinforcement Learning

Driving Simulator

Qualitative Analysis

Advisory Systems

Top Venues

Publications

Shuijing Liu, Kaiwen Hong, Neeloy Chakraborty, Katherine Driggs Campbell
Structured Graph Network for Constrained Robot Crowd Navigation with Low Fidelity Simulation. CoRR (2024)
Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Jung-Hoon Cho, Cathy Wu, Katherine Rose Driggs-Campbell
Cooperative Advisory Residual Policies for Congestion Mitigation. CoRR (2024)
Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Cathy Wu, Katherine Driggs Campbell
Lessons in Cooperation: A Qualitative Analysis of Driver Sentiments towards Real-Time Advisory Systems from a Driving Simulator User Study. CoRR (2024)
Neeloy Chakraborty, Melkior Ornik, Katherine Rose Driggs-Campbell
Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art. CoRR (2024)
Neeloy Chakraborty, Aamir Hasan, Shuijing Liu, Tianchen Ji, Weihang Liang, D. Livingston McPherson, Katherine Rose Driggs-Campbell
Structural Attention-based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection. AAMAS (2023)
Neeloy Chakraborty, Aamir Hasan, Shuijing Liu, Tianchen Ji, Weihang Liang, D. Livingston McPherson, Katherine Rose Driggs-Campbell
Structural Attention-Based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection. CoRR (2023)
Aamir Hasan, Neeloy Chakraborty, Cathy Wu, Katherine Rose Driggs-Campbell
Towards Co-operative Congestion Mitigation. CoRR (2023)
Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Jung-Hoon Cho, Cathy Wu, Katherine Driggs Campbell
PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems. ITSC (2023)
Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Jung-Hoon Cho, Cathy Wu, Katherine Rose Driggs-Campbell
PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems. CoRR (2023)
Shuijing Liu, Peixin Chang, Zhe Huang, Neeloy Chakraborty, Kaiwen Hong, Weihang Liang, D. Livingston McPherson, Junyi Geng, Katherine Rose Driggs-Campbell
Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph. ICRA (2023)
Peixin Chang, Shuijing Liu, Tianchen Ji, Neeloy Chakraborty, Kaiwen Hong, Katherine Rose Driggs-Campbell
A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots. CoRL (2023)
Peixin Chang, Shuijing Liu, Tianchen Ji, Neeloy Chakraborty, D. Livingston McPherson, Katherine Driggs Campbell
Learning Rewards and Skills to Follow Commands with A Data Efficient Visual-Audio Representation. CoRR (2023)
Shuijing Liu, Peixin Chang, Zhe Huang, Neeloy Chakraborty, Weihang Liang, Junyi Geng, Katherine Rose Driggs-Campbell
Socially Aware Robot Crowd Navigation with Interaction Graphs and Human Trajectory Prediction. CoRR (2022)
Shuijing Liu, Peixin Chang, Haonan Chen, Neeloy Chakraborty, Katherine Rose Driggs-Campbell
Learning to Navigate Intersections with Unsupervised Driver Trait Inference. ICRA (2022)
Shuijing Liu, Peixin Chang, Weihang Liang, Neeloy Chakraborty, Katherine Driggs Campbell
Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning. ICRA (2021)
Shuijing Liu, Peixin Chang, Haonan Chen, Neeloy Chakraborty, Katherine Driggs Campbell
Learning to Navigate Intersections with Unsupervised Driver Trait Inference. CoRR (2021)
Shuijing Liu, Peixin Chang, Weihang Liang, Neeloy Chakraborty, Katherine Driggs Campbell
Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning. CoRR (2020)