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. 2204.10256
  4. Cited By
Revisiting Gaussian mixture critics in off-policy reinforcement
  learning: a sample-based approach

Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach

21 April 2022
Bobak Shahriari
A. Abdolmaleki
Arunkumar Byravan
A. Friesen
Siqi Liu
Jost Tobias Springenberg
N. Heess
Matthew W. Hoffman
Martin Riedmiller
    OffRL
ArXivPDFHTML

Papers citing "Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach"

1 / 1 papers shown
Title
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended
  Exploration
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration
Giulia Vezzani
Dhruva Tirumala
Markus Wulfmeier
Dushyant Rao
A. Abdolmaleki
...
Tim Hertweck
Thomas Lampe
Fereshteh Sadeghi
N. Heess
Martin Riedmiller
OffRL
28
6
0
24 Nov 2022
1