Learning from interaction, reinforcement learning, deep learning, and multiagent systems.
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Riot Games
- Santa Monica, CA
- https://atavakol.github.io
- @arshtvk
Pinned Loading
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qmle
qmle PublicCode release for "Learning in Complex Action Spaces without Policy Gradients" TMLR (2025)
Python
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orchestrated-value-mapping
orchestrated-value-mapping PublicForked from microsoft/orchestrated-value-mapping
(ICLR 2022) Orchestrated Value Mapping
Python 1
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action-hypergraph-networks
action-hypergraph-networks Public(ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices
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logrl
logrl PublicForked from microsoft/logrl
(NeurIPS 2019) Logarithmic Reinforcement Learning
Python
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action-branching-agents
action-branching-agents Public(AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning
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