Episode 16
Roman Ring
Roman Ring discusses the Research Engineer role at DeepMind, StarCraft II, AlphaStar, his bachelor's thesis, JAX, Julia, IMPALA and more!
TalkRL: The Reinforcement Learning Podcast
January 11, 202142m 23s
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Show Notes
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
Topics
Reinforcement LearningMachine LearningArtificial Intelligence