Learning from interaction, reinforcement learning, deep learning, and multiagent systems.
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Riot Games
- Santa Monica, CA
- https://atavakol.github.io
- @arshtvk
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qmle Public
Code release for "Learning in Complex Action Spaces without Policy Gradients" TMLR (2025)
reinforcement-learning deep-reinforcement-learning openai-gym q-learning reinforcement-learning-algorithms maximum-likelihood-estimation mujocoPython MIT License UpdatedJun 3, 2025 -
action-branching-agents Public
(AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning
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orchestrated-value-mapping Public
Forked from microsoft/orchestrated-value-mapping(ICLR 2022) Orchestrated Value Mapping
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logrl Public
Forked from microsoft/logrl(NeurIPS 2019) Logarithmic Reinforcement Learning
Python Other UpdatedMay 26, 2022 -
action-hypergraph-networks Public
(ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices