Shimon Whiteson

Shimon Whiteson on his WhiRL lab, his work at Waymo UK, variBAD, QMIX, co-operative multi-agent RL, StarCraft Multi-Agent Challenge, advice to grad students, and much more!

Show Notes

Shimon Whiteson is a Professor of Computer Science at Oxford University, the head of WhiRL, the Whiteson Research Lab at Oxford, and Head of Research at Waymo UK. 


Featured References 

VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning 
Luisa Zintgraf, Kyriacos Shiarlis, Maximilian Igl, Sebastian Schulze, Yarin Gal, Katja Hofmann, Shimon Whiteson 

Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning 
Tabish Rashid, Mikayel Samvelyan, Christian Schroeder de Witt, Gregory Farquhar, Jakob Foerster, Shimon Whiteson 


Additional References 

• Shimon Whiteson - Multi-agent RL, MIT Embodied Intelligence Seminar 
• The StarCraft Multi-Agent Challenge, Samvelyan et al 2019 
• Direct Policy Transfer with Hidden Parameter Markov Decision Processes, Yao et al  2018 
• Value-Decomposition Networks For Cooperative Multi-Agent Learning, Sunehag et al 2017 
• Whiteson Research Lab 
• Waymo acquires Latent Logic to accelerate progress towards safe, driverless vehicles, Oxford News 
• Waymo 

Creators & Guests

Host

Robin Ranjit Singh Chauhan

🌱 Head of Eng @AgFunder 🧠 AI:Reinforcement Learning/ML/DL/NLP🎙️Host @TalkRLPodcast 💳 ex-@Microsoft ecomm PgmMgr 🤖 @UWaterloo CompEng 🇨🇦 🇮🇳

What is TalkRL: The Reinforcement Learning Podcast?

TalkRL podcast is All Reinforcement Learning, All the Time.
In-depth interviews with brilliant people at the forefront of RL research and practice.
Guests from places like MILA, OpenAI, MIT, DeepMind, Berkeley, Amii, Oxford, Google Research, Brown, Waymo, Caltech, and Vector Institute.
Hosted by Robin Ranjit Singh Chauhan.