Socially aware motion planning with deep reinforcement learning

Socially aware motion planning with deep reinforcement learning

For robotic vehicles to navigate safely and efficiently in pedestrian-rich environments, it is important to model subtle human behaviors and navigation rules (e.g., passing on the right). However, while instinctive to humans, socially compliant navigation is still difficult to quantify due to the st...

Full description

Bibliographic Details
Main Authors:	Chen, Yu Fan (Contributor), Everett, Michael F (Contributor), Liu, Miao (Contributor), How, Jonathan P (Contributor)
Other Authors:	Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor)
Format:	Article
Language:	English
Published:	2018-03-30T17:34:04Z.
Subjects:	Article
Online Access:	Get fulltext

Similar Items

Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
by: Everett, Michael, et al.
Published: (2021)

Decentralized non-communicating multiagent collision avoidance with deep reinforcement learning
by: Chen, Yu Fan, et al.
Published: (2018)

Collision Avoidance in Pedestrian-Rich Environments With Deep Reinforcement Learning
by: Michael Everett, et al.
Published: (2021-01-01)

Augmented dictionary learning for motion prediction
by: Chen, Yu Fan, et al.
Published: (2016)

Safe Reinforcement Learning With Model Uncertainty Estimates
by: Lutjens, Bjorn, et al.
Published: (2020)

Motion planning with diffusion maps
by: Chen, Yu Fan, et al.
Published: (2018)

Deep decentralized multi-task multi-agent reinforcement learning under partial observability
by: How, Jonathan
Published: (2021)

Active perception in adversarial scenarios using maximum entropy deep reinforcement learning
by: Shen, Macheng, et al.
Published: (2021)

Social-Aware Caching Strategy Based on Joint Action Deep Reinforcement Learning
by: Jing Yang, et al.
Published: (2021-01-01)

Motion Planning for Mobile Robots—Focusing on Deep Reinforcement Learning: A Systematic Review
by: Huihui Sun, et al.
Published: (2021-01-01)

Predictive modeling and socially aware motion planning in dynamic, uncertain environments
by: Chen, Yu Fan, Ph. D. Massachusetts Institute of Technology
Published: (2018)

Planning Beyond The Sensing Horizon Using a Learned Context
by: Everett, Michael, et al.
Published: (2021)

Tag-Aware Recommender System Based on Deep Reinforcement Learning
by: Zhiruo Zhao, et al.
Published: (2021-01-01)

Curiosity Driven Reinforcement Learning for Motion Planning on Humanoids
by: Mikhail eFrank, et al.
Published: (2014-01-01)

A Multitasking-Oriented Robot Arm Motion Planning Scheme Based on Deep Reinforcement Learning and Twin Synchro-Control
by: Chuzhao Liu, et al.
Published: (2020-06-01)

Intention-Aware Motion Planning
by: Bandyopadhyay, Tirthankar, et al.
Published: (2017)

Deep Reinforcement Learning Approach with Multiple Experience Pools for UAV’s Autonomous Motion Planning in Complex Unknown Environments
by: Zijian Hu, et al.
Published: (2020-03-01)

Range-Aware Impact Angle Guidance Law With Deep Reinforcement Meta-Learning
by: Chen Liang, et al.
Published: (2020-01-01)

Reinforcement Learning-Based Motion Planning for Automatic Parking System
by: Jiren Zhang, et al.
Published: (2020-01-01)

Constrained Motion Planning of 7-DOF Space Manipulator via Deep Reinforcement Learning Combined with Artificial Potential Field
by: Li, D., et al.
Published: (2022)

Market sentiment-aware deep reinforcement learning approach for stock portfolio allocation
by: Prahlad Koratamaddi, et al.
Published: (2021-08-01)

Deep Reinforcement Learning-Based Approach to Tackle Topic-Aware Influence Maximization
by: Shan Tian, et al.
Published: (2020-02-01)

Deep Learning for Efficient and Optimal Motion Planning for AUVs with Disturbances
by: Juan Parras, et al.
Published: (2021-07-01)

Deep Reinforcement Learning for Indoor Mobile Robot Path Planning
by: Junli Gao, et al.
Published: (2020-09-01)

Off-policy reinforcement learning with Gaussian processes
by: Chowdhary, Girish, et al.
Published: (2015)

Bayesian Nonparametric Inverse Reinforcement Learning
by: How, Jonathan P., et al.
Published: (2013)

Pattern-Aware Intelligent Anti-Jamming Communication: A Sequential Deep Reinforcement Learning Approach
by: Songyi Liu, et al.
Published: (2019-01-01)

Deep Reinforcement Learning for Performance-Aware Adaptive Resource Allocation in Mobile Edge Computing
by: Binbin Huang, et al.
Published: (2020-01-01)

Situation-Aware Deep Reinforcement Learning Link Prediction Model for Evolving Criminal Networks
by: Marcus Lim, et al.
Published: (2020-01-01)

Robust Motion Control for UAV in Dynamic Uncertain Environments Using Deep Reinforcement Learning
by: Kaifang Wan, et al.
Published: (2020-02-01)

Communication Emitter Motion Behavior’s Cognition Based on Deep Reinforcement Learning
by: Yufan Ji, et al.
Published: (2021-01-01)

Communication-Aware Motion Planning for Mobile Robots
by: Minnema Lindhé, Magnus
Published: (2012)

Learning to Teach in Cooperative Multiagent Reinforcement Learning
by: Omidshafie, Shayegan, et al.
Published: (2021)

Hierarchical Reinforcement Learning for Autonomous Decision Making and Motion Planning of Intelligent Vehicles
by: Yang Lu, et al.
Published: (2020-01-01)

Improving the efficiency of Bayesian inverse reinforcement learning
by: How, Jonathan P., et al.
Published: (2013)

Deep Learning and Reinforcement Learning
Published: (2023)

Deep Reinforcement Learning for the Optimization of Combining Raster Images in Forest Planning
by: Wen, Yangyang
Published: (2021)

Dynamic Path Planning of Unknown Environment Based on Deep Reinforcement Learning
by: Xiaoyun Lei, et al.
Published: (2018-01-01)

Deep Reinforcement Learning With Optimized Reward Functions for Robotic Trajectory Planning
by: Jiexin Xie, et al.
Published: (2019-01-01)

Deep Reinforcement Learning for Complete Coverage Path Planning in Unknown Environments
by: Boufous, Omar
Published: (2020)