5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 5 cited
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning
Michaël Mathieu, Sherjil Ozair, Srivatsan Srinivasan +21
StarCraft II is one of the most challenging simulated reinforcement learning environments; it is partially observable, stochastic, multi-agent, and mastering StarCraft II requires…
cs.LG2023
Scaling Goal-based Exploration via Pruning Proto-goals
Akhil Bagaria, Ray Jiang, Ramana Kumar +1
One of the gnarliest challenges in reinforcement learning (RL) is exploration that scales to vast domains, where novelty-, or coverage-seeking behaviour falls short. Goal-directed,…