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. 2305.07440
  4. Cited By
Optimizing Memory Mapping Using Deep Reinforcement Learning

Optimizing Memory Mapping Using Deep Reinforcement Learning

11 May 2023
Pengming Wang
Mikita Sazanovich
Berkin Ilbeyi
P. Phothilimthana
Manish Purohit
Han Yang Tay
Ngan Vu
Miaosen Wang
Cosmin Paduraru
Edouard Leurent
A. Zhernov
Po-Sen Huang
Julian Schrittwieser
Thomas Hubert
R. Tung
Paula Kurylowicz
Kieran Milan
Oriol Vinyals
D. Mankowitz
ArXivPDFHTML

Papers citing "Optimizing Memory Mapping Using Deep Reinforcement Learning"

3 / 3 papers shown
Title
OptionZero: Planning with Learned Options
OptionZero: Planning with Learned Options
Po-Wei Huang
Pei-Chiun Peng
Hung Guei
Ti-Rong Wu
57
1
0
23 Feb 2025
Interpreting the Learned Model in MuZero Planning
Interpreting the Learned Model in MuZero Planning
Hung Guei
Yan-Ru Ju
Wei-Yu Chen
Ti-Rong Wu
33
1
0
07 Nov 2024
Towards practical reinforcement learning for tokamak magnetic control
Towards practical reinforcement learning for tokamak magnetic control
Brendan D. Tracey
Andrea Michi
Yuri Chervonyi
Ian Davies
Cosmin Paduraru
...
Jonathan Evens
Paula Kurylowicz
D. Mankowitz
Martin Riedmiller
The Tcv Team
AI4CE
45
10
0
21 Jul 2023
1