Hindsight bias

Hindsight Experience Replay

Marcin Andrychowicz, Filip Wolski, Alex Ray, Jonas Schneider, Rachel Fong, Peter Welinder, Bob McGrew, Josh Tobin, Pieter Abbeel, Wojciech Zaremba

Citations: 352 • 2017

Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research

Matthias Plappert, Marcin Andrychowicz, Alex Ray, Bob McGrew, Bowen Baker, Glenn Powell, Jonas Schneider, Josh Tobin, Maciek Chociej, Peter Welinder, Vikash Kumar, Wojciech Zaremba

Citations: 196 • 2018

How transparency modulates trust in artificial intelligence

John Zerilli, Umang Bhatt, Adrian Weller

Citations: 188 • 2022

Deep Reinforcement Learning Using Genetic Algorithm for Parameter Optimization

Adarsh Sehgal, Hung Manh La, Sushil J. Louis, Van‐Dinh Nguyen

Citations: 106 • 2019

Motion Planning of Robot Manipulators for a Smoother Path Using a Twin Delayed Deep Deterministic Policy Gradient with Hindsight Experience Replay

MyeongSeop Kim, Dong-Ki Han, Jae‐Han Park, Jung‐Su Kim

Citations: 99 • 2020

Curriculum-guided Hindsight Experience Replay

Meng Fang, Tianyi Zhou, Yali Du, Lei Han, Zhengyou Zhang

Citations: 84 • 2019

Learning Multi-Level Hierarchies with Hindsight

Andrew Levy, George Konidaris, Robert W. Platt, Kate Saenko

Citations: 76 • 2017

Overcoming Exploration in Reinforcement Learning with Demonstrations

Ashvin Nair, Bob McGrew, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel

Citations: 63 • 2018

DHER: Hindsight Experience Replay for Dynamic Goals

Meng Fang, Cheng Zhou, Bei Shi, Boqing Gong, Jia Xu, Tong Zhang

Citations: 54 • 2018

Human-robot shared workspace collaboration via hindsight optimization

Stefania Pellegrinelli, Henny Admoni, Shervin Javdani, Siddhartha S Srinivasa

Citations: 50 • 2016

Rewards Prediction-Based Credit Assignment for Reinforcement Learning With Sparse Binary Rewards

Minah Seo, Luiz Felipe Vecchietti, Sangkeum Lee, Dongsoo Har

Citations: 49 • 2019

Maximum Entropy-Regularized Multi-Goal Reinforcement Learning

Rui Zhao, Xudong Sun, Volker Tresp

Citations: 47 • 2019

Solving Robotic Manipulation With Sparse Reward Reinforcement Learning Via Graph-Based Diversity and Proximity

Zhenshan Bing, Hongkuan Zhou, Rui Li, Xiaojie Su, Fabrice O. Morin, Kai Huang, Alois Knoll

Citations: 44 • 2022

Sampling Rate Decay in Hindsight Experience Replay for Robot Control

Luiz Felipe Vecchietti, Minah Seo, Dongsoo Har

Citations: 43 • 2020

Relay Hindsight Experience Replay: Self-guided continual reinforcement learning for sequential object manipulation tasks with sparse rewards

Yongle Luo, Yuxin Wang, Kun Dong, Qiang Zhang, Erkang Cheng, Zhiyong Sun, Bo Song

Citations: 38 • 2023

A Collaborative Control Method of Dual-Arm Robots Based on Deep Reinforcement Learning

Luyu Liu, Qianyuan Liu, Yong Song, Bao Pang, Xianfeng Yuan, Qingyang Xu

Citations: 36 • 2021

Collaborative online planning for automated victim search in disaster response

Zoltán Beck, W. T. Luke Teacy, Alex Rogers, Nicholas R. Jennings

Citations: 34 • 2017

Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation

Zhenshan Bing, Matthias Brucker, Fabrice O. Morin, Rui Li, Xiaojie Su, Kai Huang, Alois Knoll

Citations: 33 • 2021

Goal-Conditioned Imitation Learning

Yiming Ding

Citations: 32 • 2019

From Semantics to Execution: Integrating Action Planning With Reinforcement Learning for Robotic Causal Problem-Solving

Manfred Eppe, Phuong D. H. Nguyen, Stefan Wermter

Citations: 32 • 2019