The Multi Agentiral Human in the Lup Lurning and Some of Its Applications

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

• Asymmetric 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 al

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