Roman Ring

TalkRL: The Reinforcement Learning Podcast

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4+ y ago 42:23

MP3•Episode home

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

66 episodes

#Reinforcement Learning #Machine Learning #Robin Ranjit Singh Chauhan #Artificial Intelligence #Tech

Roman Ring

TalkRL: The Reinforcement Learning Podcast

89 subscribers

published 4+ y ago

MP3•Episode home

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

66 episodes

#Reinforcement Learning #Machine Learning #Robin Ranjit Singh Chauhan #Artificial Intelligence #Tech

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