Saikrishna Gottipati is an RL Researcher at AI Redefined, working on RL, MARL, human in the loop learning.Featured ReferencesCogment: Open Source Framework For Distributed Multi-actor Training, Deployment & OperationsAI Redefined, Sai Krishna Gottipati, Sagar Kurandwad, Clodéric Mars, Gregory Szriftgiser, François ChabotDo As You Teach: A Multi-Teacher Approach to Self-Play in Deep Reinforcement LearningCurrently under reviewLearning to navigate the synthetically accessible chemical space using reinforcement learningSai 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 BengioAdditional ReferencesAsymmetric self-play for automatic goal discovery in robotic manipulation, 2021 OpenAI et al Continuous Coordination As a Realistic Scenario for Lifelong Learning, 2021 Nekoei et alEpisode sponsor: AnyscaleRay 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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