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Saikrishna Gottipati is an RL Researcher at AI Redefined, working on RL, MARL, human in the loop learning.
Featured References
Cogment: Open Source Framework For Distributed Multi-actor Training, Deployment & Operations
AI Redefined, Sai Krishna Gottipati, Sagar Kurandwad, Clodéric Mars, Gregory Szriftgiser, François Chabot
Do As You Teach: A Multi-Teacher Approach to Self-Play in Deep Reinforcement Learning
Currently under review
Learning to navigate the synthetically accessible chemical space using reinforcement learning
Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Karam J. Thomas, Simon Blackburn, Connor W. Coley, Jian Tang, Sarath Chandar, Yoshua Bengio
Additional References
Episode sponsor: Anyscale
Ray Summit 2022 is coming to San Francisco on August 23-24.
Hear how teams at Dow, Verizon, Riot Games, and more are solving their RL challenges with Ray's RLlib.
Register at raysummit.org and use code RAYSUMMIT22RL for a further 25% off the already reduced prices.
4.9
2626 ratings
Saikrishna Gottipati is an RL Researcher at AI Redefined, working on RL, MARL, human in the loop learning.
Featured References
Cogment: Open Source Framework For Distributed Multi-actor Training, Deployment & Operations
AI Redefined, Sai Krishna Gottipati, Sagar Kurandwad, Clodéric Mars, Gregory Szriftgiser, François Chabot
Do As You Teach: A Multi-Teacher Approach to Self-Play in Deep Reinforcement Learning
Currently under review
Learning to navigate the synthetically accessible chemical space using reinforcement learning
Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Karam J. Thomas, Simon Blackburn, Connor W. Coley, Jian Tang, Sarath Chandar, Yoshua Bengio
Additional References
Episode sponsor: Anyscale
Ray Summit 2022 is coming to San Francisco on August 23-24.
Hear how teams at Dow, Verizon, Riot Games, and more are solving their RL challenges with Ray's RLlib.
Register at raysummit.org and use code RAYSUMMIT22RL for a further 25% off the already reduced prices.
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