Continuous Forecasting via Neural Eigen Decomposition

1 code implementation • 31 Jan 2022 • Stav Belogolovsky, Ido Greenberg, Danny Eitan, Shie Mannor

Neural differential equations predict the derivative of a stochastic process.

Contextual Inverse Reinforcement Learning

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.

reinforcement-learning Reinforcement Learning (RL)

Inverse Reinforcement Learning in Contextual MDPs

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).

Autonomous Driving reinforcement-learning +1