1 code implementation • 31 Jan 2022 • Stav Belogolovsky, Ido Greenberg, Danny Eitan, Shie Mannor
Neural differential equations predict the derivative of a stochastic process.
no code implementations • 25 Sep 2019 • Philip Korsunsky, Stav Belogolovsky, Tom Zahavy, Chen Tessler, Shie Mannor
In this setting, the reward, which is unknown to the agent, is a function of a static parameter referred to as the context.
2 code implementations • 23 May 2019 • Stav Belogolovsky, Philip Korsunsky, Shie Mannor, Chen Tessler, Tom Zahavy
Most importantly, we show both theoretically and empirically that our algorithms perform zero-shot transfer (generalize to new and unseen contexts).