1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AI2021
Applying supervised and reinforcement learning methods to create neural-network-based agents for playing StarCraft II
Michał Opanowicz
Recently, multiple approaches for creating agents for playing various complex real-time computer games such as StarCraft II or Dota 2 were proposed, however, they either embed a si…
cs.LG2021★ 1 cited
Towards robust and domain agnostic reinforcement learning competitions
William Hebgen Guss, Stephanie Milani, Nicholay Topin +26
Reinforcement learning competitions have formed the basis for standard research benchmarks, galvanized advances in the state-of-the-art, and shaped the direction of the field. Desp…