Sai Krishna Gottipati episode artwork

EPISODE · Aug 1, 2022 · 1H 8M

Sai Krishna Gottipati

from TalkRL: The Reinforcement Learning Podcast · host Robin Ranjit Singh Chauhan

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.

Sai Krishna Gottipati of AI Redefined on RL for synthesizable drug discovery, Multi-Teacher Self-Play, Cogment framework for realtime multi-actor RL, AI + Chess, and more!

NOW PLAYING

Sai Krishna Gottipati

0:00 1:08:11

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

Frequently Asked Questions

How long is this episode of TalkRL: The Reinforcement Learning Podcast?

This episode is 1 hour and 8 minutes long.

When was this TalkRL: The Reinforcement Learning Podcast episode published?

This episode was published on August 1, 2022.

What is this episode about?

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...

Is there a transcript available for this episode?

Yes, a full transcript is available for this episode. You can read the complete transcript on the episode page.

Can I download this TalkRL: The Reinforcement Learning Podcast episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
URL copied to clipboard!