Benchmarking Distribution Shift in Tabular Data with TableShift

1 code implementation • NeurIPS 2023 • Josh Gardner, Zoran Popovic, Ludwig Schmidt

However, high-quality benchmarks for distribution shift in tabular machine learning tasks are still lacking despite the widespread real-world use of tabular data and differences in the models used for tabular data in comparison to text and images.

Benchmarking Binary Classification +1

Interactive Control of Diverse Complex Characters with Neural Networks

no code implementations • NeurIPS 2015 • Igor Mordatch, Kendall Lowrey, Galen Andrew, Zoran Popovic, Emanuel V. Todorov

We present a method for training recurrent neural networks to act as near-optimal feedback controllers.

Nonlinear Inverse Reinforcement Learning with Gaussian Processes

1 code implementation • NeurIPS 2011 • Sergey Levine, Zoran Popovic, Vladlen Koltun

We present a probabilistic algorithm for nonlinear inverse reinforcement learning.

Gaussian Processes reinforcement-learning +1

Feature Construction for Inverse Reinforcement Learning

no code implementations • NeurIPS 2010 • Sergey Levine, Zoran Popovic, Vladlen Koltun

The goal of inverse reinforcement learning is to find a reward function for a Markov decision process, given example traces from its optimal policy.

reinforcement-learning Reinforcement Learning (RL)