ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2001.05270
  4. Cited By
Continuous-action Reinforcement Learning for Playing Racing Games:
  Comparing SPG to PPO

Continuous-action Reinforcement Learning for Playing Racing Games: Comparing SPG to PPO

15 January 2020
Mario S. Holubar
M. Wiering
ArXiv (abs)PDFHTML

Papers citing "Continuous-action Reinforcement Learning for Playing Racing Games: Comparing SPG to PPO"

3 / 3 papers shown
RAMario: Experimental Approach to Reptile Algorithm -- Reinforcement
  Learning for Mario
RAMario: Experimental Approach to Reptile Algorithm -- Reinforcement Learning for Mario
Sanyam Jain
137
1
0
16 May 2023
Sample Dropout: A Simple yet Effective Variance Reduction Technique in
  Deep Policy Optimization
Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization
Zichuan Lin
Xiapeng Wu
Mingfei Sun
Deheng Ye
Qiang Fu
Wei Yang
Wei Liu
272
4
0
05 Feb 2023
Generalized Proximal Policy Optimization with Sample Reuse
Generalized Proximal Policy Optimization with Sample ReuseNeural Information Processing Systems (NeurIPS), 2021
James Queeney
I. Paschalidis
Christos G. Cassandras
OffRL
357
62
0
29 Oct 2021
1
Page 1 of 1