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. 2201.07211
  4. Cited By
Human-Level Control through Directly-Trained Deep Spiking Q-Networks

Human-Level Control through Directly-Trained Deep Spiking Q-Networks

13 December 2021
Guisong Liu
Wenjie Deng
Xiurui Xie
Li Huang
Huajin Tang
    OffRL
ArXivPDFHTML

Papers citing "Human-Level Control through Directly-Trained Deep Spiking Q-Networks"

7 / 7 papers shown
Title
PPO-MI: Efficient Black-Box Model Inversion via Proximal Policy Optimization
PPO-MI: Efficient Black-Box Model Inversion via Proximal Policy Optimization
Xinpeng Shou
81
0
0
21 Feb 2025
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos
Xin Liu
Yaran Chen
Haoran Li
SSL
94
0
0
14 Dec 2024
Learning Future Representation with Synthetic Observations for
  Sample-efficient Reinforcement Learning
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning
Xin Liu
Yaran Chen
Dong Zhao
43
1
0
20 May 2024
GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL
GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL
Lang Qin
Ziming Wang
Runhao Jiang
Rui Yan
Huajin Tang
38
0
0
24 Apr 2024
Solving the Spike Feature Information Vanishing Problem in Spiking Deep
  Q Network with Potential Based Normalization
Solving the Spike Feature Information Vanishing Problem in Spiking Deep Q Network with Potential Based Normalization
Yinqian Sun
Yi Zeng
Yang Li
19
15
0
08 Jun 2022
Deep Reinforcement Learning with Spiking Q-learning
Deep Reinforcement Learning with Spiking Q-learning
Ding Chen
Peixi Peng
Tiejun Huang
Yonghong Tian
25
20
0
21 Jan 2022
Deep Reinforcement Learning with Population-Coded Spiking Neural Network
  for Continuous Control
Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control
Guangzhi Tang
Neelesh Kumar
Raymond Yoo
Konstantinos Michmizos
52
74
0
19 Oct 2020
1