Roman Ring

TalkRL: The Reinforcement Learning Podcast

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