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	Podcast:		TalkRL: The Reinforcement Learning Podcast
	Episode:		Roman Ring
	Category:		Technology
	Duration:		00:42:23
	Publish Date:		2021-01-11 12:00:00
	Description:		Roman Ring is a Research Engineer at DeepMind. Featured References Grandmaster level in StarCraft II using multi-agent reinforcement learning Vinyals et al, 2019 Replicating DeepMind StarCraft II Reinforcement Learning Benchmark with Actor-Critic Methods Roman Ring, 2018 Additional References Relational Deep Reinforcement Learning, Zambaldi et al 2018 StarCraft II: A New Challenge for Reinforcement Learning, Vinyals et al 2017 Safe and Efficient Off-Policy Reinforcement Learning [Retrace(λ)], Munos et al 2016 Sample Efficient Actor-Critic with Experience Replay [ACER], Wang et al 2016 IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures [IMPALA/V-trace], Espeholt et al 2018
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