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Roman Ring discusses the Research Engineer role at DeepMind, StarCraft II, AlphaStar, his bachelor's thesis, JAX, Julia, IMPALA and more!
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
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
Creators & Guests
What is TalkRL: The Reinforcement Learning Podcast?
TalkRL podcast is All Reinforcement Learning, All the Time.
In-depth interviews with brilliant people at the forefront of RL research and practice.
Guests from places like MILA, OpenAI, MIT, DeepMind, Berkeley, Amii, Oxford, Google Research, Brown, Waymo, Caltech, and Vector Institute.
Hosted by Robin Ranjit Singh Chauhan.