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Collision Avoidance in Pedestrian-Rich Environments with Deep
  Reinforcement Learning

Collision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement Learning

24 October 2019
Michael Everett
Yu Fan Chen
Jonathan P. How
    OffRL
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Papers citing "Collision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement Learning"

22 / 72 papers shown
Title
Towards Disturbance-Free Visual Mobile Manipulation
Towards Disturbance-Free Visual Mobile Manipulation
Tianwei Ni
Kiana Ehsani
Luca Weihs
Jordi Salvador
28
9
0
17 Dec 2021
Multi-agent Soft Actor-Critic Based Hybrid Motion Planner for Mobile
  Robots
Multi-agent Soft Actor-Critic Based Hybrid Motion Planner for Mobile Robots
Zicheng He
Lu Dong
Chunwei Song
Changyin Sun
37
25
0
13 Dec 2021
Review of Pedestrian Trajectory Prediction Methods: Comparing Deep
  Learning and Knowledge-based Approaches
Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-based Approaches
R. Korbmacher
A. Tordeux
29
85
0
11 Nov 2021
Injecting Planning-Awareness into Prediction and Detection Evaluation
Injecting Planning-Awareness into Prediction and Detection Evaluation
Boris Ivanovic
Marco Pavone
77
31
0
07 Oct 2021
A review of mobile robot motion planning methods: from classical motion
  planning workflows to reinforcement learning-based architectures
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures
Changyin Sun
Zicheng He
Chunwei Song
Changyin Sun
43
54
0
31 Aug 2021
Learning Spatiotemporal Occupancy Grid Maps for Lifelong Navigation in
  Dynamic Scenes
Learning Spatiotemporal Occupancy Grid Maps for Lifelong Navigation in Dynamic Scenes
Hugues Thomas
Matthieu Gallet de Saint Aurin
Jian Zhang
T. Barfoot
21
12
0
24 Aug 2021
Rethinking Trajectory Forecasting Evaluation
Rethinking Trajectory Forecasting Evaluation
Boris Ivanovic
Marco Pavone
24
14
0
21 Jul 2021
Collision Avoidance Using Spherical Harmonics
Collision Avoidance Using Spherical Harmonics
Steven Patrick
E. Bakolas
9
1
0
15 Jul 2021
Safe Deep Q-Network for Autonomous Vehicles at Unsignalized Intersection
Safe Deep Q-Network for Autonomous Vehicles at Unsignalized Intersection
Kasra Mokhtari
Alan R. Wagner
31
9
0
08 Jun 2021
Curiosity-based Robot Navigation under Uncertainty in Crowded
  Environments
Curiosity-based Robot Navigation under Uncertainty in Crowded Environments
Kuanqi Cai
Weinan Chen
Chaoqun Wang
Hong Zhang
Max Meng
17
5
0
03 Jun 2021
Pedestrian Collision Avoidance for Autonomous Vehicles at Unsignalized
  Intersection Using Deep Q-Network
Pedestrian Collision Avoidance for Autonomous Vehicles at Unsignalized Intersection Using Deep Q-Network
Kasra Mokhtari
Alan R. Wagner
12
6
0
01 May 2021
Nearest-Neighbor-based Collision Avoidance for Quadrotors via
  Reinforcement Learning
Nearest-Neighbor-based Collision Avoidance for Quadrotors via Reinforcement Learning
Ramzi Ourari
Kai Cui
Ahmed Elshamanhory
Heinz Koeppl
27
9
0
30 Apr 2021
Learning-Based UAV Trajectory Optimization with Collision Avoidance and
  Connectivity Constraints
Learning-Based UAV Trajectory Optimization with Collision Avoidance and Connectivity Constraints
Xueyuan Wang
M. C. Gursoy
25
19
0
03 Apr 2021
Robot Navigation in a Crowd by Integrating Deep Reinforcement Learning
  and Online Planning
Robot Navigation in a Crowd by Integrating Deep Reinforcement Learning and Online Planning
Zhiqian Zhou
Pengming Zhu
Zhiwen Zeng
Junhao Xiao
Huimin Lu
Zongtan Zhou
72
45
0
26 Feb 2021
Where to go next: Learning a Subgoal Recommendation Policy for
  Navigation Among Pedestrians
Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians
B. Brito
Michael Everett
Jonathan P. How
Javier Alonso-Mora
81
57
0
25 Feb 2021
Prediction-Based Reachability for Collision Avoidance in Autonomous
  Driving
Prediction-Based Reachability for Collision Avoidance in Autonomous Driving
Anjian Li
Liting Sun
Wei Zhan
Masayoshi Tomizuka
Mo Chen
17
30
0
24 Nov 2020
Dynamically Feasible Deep Reinforcement Learning Policy for Robot
  Navigation in Dense Mobile Crowds
Dynamically Feasible Deep Reinforcement Learning Policy for Robot Navigation in Dense Mobile Crowds
Utsav Patel
Nithish Kumar
A. Sathyamoorthy
Tianyi Zhou
16
58
0
28 Oct 2020
Flow-FL: Data-Driven Federated Learning for Spatio-Temporal Predictions
  in Multi-Robot Systems
Flow-FL: Data-Driven Federated Learning for Spatio-Temporal Predictions in Multi-Robot Systems
Nathalie Majcherczyk
Nishan Srishankar
Carlo Pinciroli
FedML
AI4CE
16
30
0
16 Oct 2020
With Whom to Communicate: Learning Efficient Communication for
  Multi-Robot Collision Avoidance
With Whom to Communicate: Learning Efficient Communication for Multi-Robot Collision Avoidance
Álvaro Serra-Gómez
B. Brito
Hai Zhu
Jen Jen Chung
Javier Alonso-Mora
37
18
0
25 Sep 2020
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent
  Control
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control
Qingrui Zhang
Hao Dong
Wei Pan
29
6
0
20 Sep 2020
Motion Planning Among Dynamic, Decision-Making Agents with Deep
  Reinforcement Learning
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
Michael Everett
Yu Fan Chen
Jonathan P. How
146
509
0
04 May 2018
Decentralized Non-communicating Multiagent Collision Avoidance with Deep
  Reinforcement Learning
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning
Yu Fan Chen
Miao Liu
Michael Everett
Jonathan P. How
191
583
0
26 Sep 2016
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