Reducing the Cost of Cycle-Time Tuning for Real-World Policy Optimization

9 May 2023

Papers citing "Reducing the Cost of Cycle-Time Tuning for Real-World Policy Optimization"

5 / 5 papers shown

Title
Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Matthew D Riemer G. Subbaraj Glen Berseth Irina Rish OffRL 82 1 0 18 Dec 2024
Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning G. Vasan Yan Wang Fahim Shahriar James Bergstra Martin Jägersand A. R. Mahmood 27 2 0 29 Jun 2024
An Idiosyncrasy of Time-discretization in Reinforcement Learning Kris De Asis Richard S. Sutton 21 0 0 21 Jun 2024
Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning Mohamed Elsayed Homayoon Farrahi Felix Dangel A. Rupam Mahmood 35 3 0 05 Jun 2024
Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention Abhishek Gupta Justin Yu Tony Zhao Vikash Kumar Aaron Rovinsky Kelvin Xu Thomas Devlin Sergey Levine OffRL 72 95 0 22 Apr 2021