Multi-Agent Adversarial Inverse Reinforcement Learning

Lantao Yu, Jiaming Song, Stefano Ermon

The paper introduces MA-AIRL, a scalable framework for multi-agent inverse reinforcement learning that learns reward functions in high-dimensional Markov games using an adversarial…

Direct atomic fabrication and dopant positioning in Si using electron beams with active real time image-based feedback

Stephen Jesse, Bethany M. Hudak, Eva Zarkadoula +9

Max-Margin Nonparametric Latent Feature Models for Link Prediction

Jun Zhu, Jiaming Song, Bei Chen

The Information Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Models

Shengjia Zhao, Jiaming Song, Stefano Ermon

InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations

Yunzhu Li, Jiaming Song, Stefano Ermon

Learning Hierarchical Features from Generative Models

Shengjia Zhao, Jiaming Song, Stefano Ermon

InfoVAE: Information Maximizing Variational Autoencoders

Shengjia Zhao, Jiaming Song, Stefano Ermon

Factored Temporal Sigmoid Belief Networks for Sequence Learning

Jiaming Song, Zhe Gan, Lawrence Carin

Deep analytics of atomically-resolved images: manifest and latent features

Maxim Ziatdinov, Ondrej Dyck, Artem Maksov +7

Bias and Generalization in Deep Generative Models: An Empirical Study

Shengjia Zhao, Hongyu Ren, Arianna Yuan +3

An Empirical Analysis of Proximal Policy Optimization with Kronecker-factored Natural Gradients

Jiaming Song, Yuhuai Wu

A-NICE-MC: Adversarial Training for MCMC

Jiaming Song, Shengjia Zhao, Stefano Ermon

Towards Deeper Understanding of Variational Autoencoding Models

Shengjia Zhao, Jiaming Song, Stefano Ermon

Multi-Agent Generative Adversarial Imitation Learning

Jiaming Song, Hongyu Ren, Dorsa Sadigh +1

gSMat: A Scalable Sparse Matrix-based Join for SPARQL Query Processing

Xiaowang Zhang, Mingyue Zhang, Peng Peng +3

Accelerating Natural Gradient with Higher-Order Invariance

Yang Song, Jiaming Song, Stefano Ermon

Adversarial Constraint Learning for Structured Prediction

Hongyu Ren, Russell Stewart, Jiaming Song +2

On the Limits of Learning Representations with Label-Based Supervision

Jiaming Song, Russell Stewart, Shengjia Zhao +1

Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation

Bei Chen, Ning Chen, Jun Zhu +2

Calibrated Model-Based Deep Reinforcement Learning

Ali Malik, Volodymyr Kuleshov, Jiaming Song +3