1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AI2026
Coachable agents for interactive gameplay
Roberto Capobianco, Harm van Seijen, Nolan D. Bard +38
Reinforcement learning has proven to be a valuable tool in the creation of advanced AI and robotic systems, contributing to everything from game playing to robotics to foundation m…
cs.LG2020★ 1 cited
Analyzing Reinforcement Learning Benchmarks with Random Weight Guessing
Declan Oller, Tobias Glasmachers, Giuseppe Cuccu
We propose a novel method for analyzing and visualizing the complexity of standard reinforcement learning (RL) benchmarks based on score distributions. A large number of policy net…