Papers citing 'Can we hop in general? A discussion of benchmark selection and design using the Hopper environment'

Title
Fixing That Free Lunch: When, Where, and Why Synthetic Data Fails in Model-Based Policy Optimization Brett Barkley David Fridovich-Keil OffRL 136 0 0 01 Oct 2025
Replicable Reinforcement Learning with Linear Function Approximation Eric Eaton Marcel Hussing Michael Kearns Aaron Roth S. B. Sengupta Jessica Sorrell 152 0 0 10 Sep 2025
Relative Entropy Pathwise Policy Optimization C. Voelcker Axel Brunnbauer Marcel Hussing Michal Nauman Pieter Abbeel Eric Eaton Radu Grosu Amir-massoud Farahmand Igor Gilitschenski 273 0 0 15 Jul 2025
A Research Agenda for Usability and Generalisation in Reinforcement Learning Dennis J. N. J. Soemers Spyridon Samothrakis Kurt Driessens M. Winands OffRL 342 1 0 22 Dec 2024
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning Mingqi Yuan Roger Creus Castanyer Bo Li Xin Jin Glen Berseth Wenjun Zeng 392 6 0 29 May 2024
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning Yuke Zhu J. Wong Ajay Mandlekar Roberto Martín-Martín Abhishek Joshi Soroush Nasiriany Yifeng Zhu Soroush Nasiriany Yifeng Zhu 477 550 0 25 Sep 2020