1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.RO2024
RobocupGym: A challenging continuous control benchmark in Robocup
Michael Beukman, Branden Ingram, Geraud Nangue Tasse +2
Reinforcement learning (RL) has progressed substantially over the past decade, with much of this progress being driven by benchmarks. Many benchmarks are focused on video or board…
cs.LG2023★ 1 cited
ROSARL: Reward-Only Safe Reinforcement Learning
Geraud Nangue Tasse, Tamlin Love, Mark Nemecek +2
An important problem in reinforcement learning is designing agents that learn to solve tasks safely in an environment. A common solution is for a human expert to define either a pe…