ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2212.04123
  4. Cited By
Enhanced method for reinforcement learning based dynamic obstacle
  avoidance by assessment of collision risk

Enhanced method for reinforcement learning based dynamic obstacle avoidance by assessment of collision risk

8 December 2022
Fabian Hart
Ostap Okhrin
ArXivPDFHTML

Papers citing "Enhanced method for reinforcement learning based dynamic obstacle avoidance by assessment of collision risk"

11 / 11 papers shown
Title
Zipfian environments for Reinforcement Learning
Zipfian environments for Reinforcement Learning
Stephanie C. Y. Chan
Andrew Kyle Lampinen
Pierre Harvey Richemond
Felix Hill
OffRL
68
15
0
15 Mar 2022
Arena-Rosnav: Towards Deployment of Deep-Reinforcement-Learning-Based
  Obstacle Avoidance into Conventional Autonomous Navigation Systems
Arena-Rosnav: Towards Deployment of Deep-Reinforcement-Learning-Based Obstacle Avoidance into Conventional Autonomous Navigation Systems
Linh Kästner
Teham Buiyan
Xinlin Zhao
Lei Jiao
Zhengcheng Shen
Jens Lambrecht
29
47
0
08 Apr 2021
A Review of Tracking, Prediction and Decision Making Methods for
  Autonomous Driving
A Review of Tracking, Prediction and Decision Making Methods for Autonomous Driving
Florin Leon
M. Gavrilescu
47
97
0
17 Sep 2019
Quantifying Generalization in Reinforcement Learning
Quantifying Generalization in Reinforcement Learning
K. Cobbe
Oleg Klimov
Christopher Hesse
Taehoon Kim
John Schulman
OffRL
91
667
0
06 Dec 2018
Multi-task Deep Reinforcement Learning with PopArt
Multi-task Deep Reinforcement Learning with PopArt
Matteo Hessel
Hubert Soyer
L. Espeholt
Wojciech M. Czarnecki
Simon Schmitt
H. V. Hasselt
118
318
0
12 Sep 2018
Hierarchical Reinforcement Learning Framework towards Multi-agent
  Navigation
Hierarchical Reinforcement Learning Framework towards Multi-agent Navigation
Wenhao Ding
Shuaijun Li
Huihuan Qian
88
32
0
14 Jul 2018
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
233
513
0
04 May 2018
Addressing Function Approximation Error in Actor-Critic Methods
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto
H. V. Hoof
David Meger
OffRL
169
5,168
0
26 Feb 2018
Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep
  Reinforcement Learning
Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning
Pinxin Long
Tingxiang Fan
X. Liao
Wenxi Liu
Huatian Zhang
Jia Pan
OOD
71
455
0
28 Sep 2017
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
312
13,214
0
09 Sep 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.6K
149,842
0
22 Dec 2014
1