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. 2110.02414
  4. Cited By
Imaginary Hindsight Experience Replay: Curious Model-based Learning for
  Sparse Reward Tasks

Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks

5 October 2021
Robert McCarthy
Qiang Wang
S. Redmond
    OffRL
ArXivPDFHTML

Papers citing "Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks"

10 / 10 papers shown
Title
Learning World Models for Unconstrained Goal Navigation
Learning World Models for Unconstrained Goal Navigation
Yuanlin Duan
Wensen Mao
He Zhu
34
1
0
03 Nov 2024
Exploring the Edges of Latent State Clusters for Goal-Conditioned
  Reinforcement Learning
Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning
Yuanlin Duan
Guofeng Cui
He Zhu
OffRL
29
0
0
03 Nov 2024
Improving Unsupervised Visual Program Inference with Code Rewriting
  Families
Improving Unsupervised Visual Program Inference with Code Rewriting Families
Aditya Ganeshan
R. K. Jones
Daniel E. Ritchie
30
10
0
26 Sep 2023
Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement
  Learning
Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning
Hongyu Ding
Yuan-Yan Tang
Qing Wu
Bo Wang
Chunlin Chen
Zhi Wang
32
4
0
16 Jul 2023
MRHER: Model-based Relay Hindsight Experience Replay for Sequential
  Object Manipulation Tasks with Sparse Rewards
MRHER: Model-based Relay Hindsight Experience Replay for Sequential Object Manipulation Tasks with Sparse Rewards
Yuming Huang
Bin Ren
Ziming Xu
Lianghong Wu
OffRL
13
0
0
28 Jun 2023
Relay Hindsight Experience Replay: Self-Guided Continual Reinforcement
  Learning for Sequential Object Manipulation Tasks with Sparse Rewards
Relay Hindsight Experience Replay: Self-Guided Continual Reinforcement Learning for Sequential Object Manipulation Tasks with Sparse Rewards
Yongle Luo
Yuxin Wang
Kun Dong
Q. Zhang
Erkang Cheng
Zhiyong Sun
Bo Song
20
18
0
01 Aug 2022
Dexterous Robotic Manipulation using Deep Reinforcement Learning and
  Knowledge Transfer for Complex Sparse Reward-based Tasks
Dexterous Robotic Manipulation using Deep Reinforcement Learning and Knowledge Transfer for Complex Sparse Reward-based Tasks
Qiang Wang
Francisco Roldan Sanchez
Robert McCarthy
David Córdova Bulens
Kevin McGuinness
Noel E. O'Connor
M. Wuthrich
Felix Widmaier
Stefan Bauer
S. Redmond
15
14
0
19 May 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions
Goal-Conditioned Reinforcement Learning: Problems and Solutions
Minghuan Liu
Menghui Zhu
Weinan Zhang
22
131
0
20 Jan 2022
Solving the Real Robot Challenge using Deep Reinforcement Learning
Solving the Real Robot Challenge using Deep Reinforcement Learning
Robert McCarthy
Francisco Roldan Sanchez
Qiang Wang
David Córdova Bulens
Kevin McGuinness
Noel E. O'Connor
S. Redmond
19
11
0
30 Sep 2021
Deep Dynamics Models for Learning Dexterous Manipulation
Deep Dynamics Models for Learning Dexterous Manipulation
Anusha Nagabandi
K. Konolige
Sergey Levine
Vikash Kumar
145
407
0
25 Sep 2019
1