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Featured Co-authors

Stefano Ermon
168 publications
Silvio Savarese
130 publications
Kun He
99 publications
Ashish Sabharwal
60 publications
Zhiyuan Li
58 publications
Daniel D. Lee
33 publications
Carla P. Gomes
33 publications
Ashutosh Saxena
33 publications
Di Chen
27 publications
Ronan Le Bras
26 publications
Yexiang Xue
26 publications

∙ 01/27/2023

Policy-Value Alignment and Robustness in Search-based Multi-Agent Learning

Large-scale AI systems that combine search and learning have reached sup...

0 Niko A. Grupen, et al. ∙

∙ 09/20/2022

Graph Value Iteration

In recent years, deep Reinforcement Learning (RL) has been successful in...

5 Dieqiao Feng, et al. ∙

∙ 06/28/2022

Left Heavy Tails and the Effectiveness of the Policy and Value Networks in DNN-based best-first search for Sokoban Planning

Despite the success of practical solvers in various NP-complete domains ...

6 Dieqiao Feng, et al. ∙

∙ 10/03/2021

A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances

In recent years, we have witnessed tremendous progress in deep reinforce...

8 Dieqiao Feng, et al. ∙

∙ 08/21/2021

Automating Crystal-Structure Phase Mapping: Combining Deep Learning with Constraint Reasoning

Crystal-structure phase mapping is a core, long-standing challenge in ma...

6 Di Chen, et al. ∙

∙ 07/31/2021

Structure Amplification on Multi-layer Stochastic Block Models

Much of the complexity of social, biological, and engineered systems ari...

7 Xiaodong Xin, et al. ∙

∙ 06/21/2021

Curriculum-Driven Multi-Agent Learning and the Role of Implicit Communication in Teamwork

We propose a curriculum-driven learning strategy for solving difficult m...

6 Niko A. Grupen, et al. ∙

∙ 06/10/2021

Cooperative Multi-Agent Fairness and Equivariant Policies

We study fairness through the lens of cooperative multi-agent learning. ...

0 Niko A. Grupen, et al. ∙

∙ 11/30/2020

Low-Bandwidth Communication Emerges Naturally in Multi-Agent Learning Systems

In this work, we study emergent communication through the lens of cooper...

5 Niko A. Grupen, et al. ∙

∙ 06/04/2020

Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning

Despite significant progress in general AI planning, certain domains rem...

5 Dieqiao Feng, et al. ∙

∙ 08/07/2019

A 20-Year Community Roadmap for Artificial Intelligence Research in the US

Decades of research in artificial intelligence (AI) have produced formid...

6 Yolanda Gil, et al. ∙

∙ 06/01/2018

Understanding Batch Normalization

Batch normalization is a ubiquitous deep learning technique that normali...

0 Johan Bjorck, et al. ∙

∙ 05/23/2017

XOR-Sampling for Network Design with Correlated Stochastic Events

Many network optimization problems can be formulated as stochastic netwo...

0 Xiaojian Wu, et al. ∙

∙ 10/08/2016

Solving Marginal MAP Problems with NP Oracles and Parity Constraints

Arising from many applications at the intersection of decision making an...

0 Yexiang Xue, et al. ∙

∙ 03/11/2016

Watch-n-Patch: Unsupervised Learning of Actions and Relations

There is a large variation in the activities that humans perform in thei...

0 Chenxia Wu, et al. ∙

∙ 12/14/2015

Watch-Bot: Unsupervised Learning for Reminding Humans of Forgotten Actions

We present a robotic system that watches a human using a Kinect v2 RGB-D...

0 Chenxia Wu, et al. ∙

∙ 08/17/2015

Variable Elimination in the Fourier Domain

The ability to represent complex high dimensional probability distributi...

0 Yexiang Xue, et al. ∙

∙ 11/27/2014

Pattern Decomposition with Complex Combinatorial Constraints: Application to Materials Discovery

Identifying important components or factors in large amounts of noisy da...

0 Stefano Ermon, et al. ∙

∙ 09/26/2013

Optimization With Parity Constraints: From Binary Codes to Discrete Integration

Many probabilistic inference tasks involve summations over exponentially...

0 Stefano Ermon, et al. ∙

∙ 06/24/2013

Synthesizing Manipulation Sequences for Under-Specified Tasks using Unrolled Markov Random Fields

Many tasks in human environments require performing a sequence of naviga...

0 Jaeyong Sung, et al. ∙

∙ 02/27/2013

Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization

Integration is affected by the curse of dimensionality and quickly becom...

0 Stefano Ermon, et al. ∙

∙ 02/06/2013

Algorithm Portfolio Design: Theory vs. Practice

Stochastic algorithms are among the best for solving computationally har...

0 Carla P. Gomes, et al. ∙

∙ 01/10/2013

A Bayesian Approach to Tackling Hard Computational Problems

We are developing a general framework for using learned Bayesian models ...

0 Eric J. Horvitz, et al. ∙

∙ 10/16/2012

Uniform Solution Sampling Using a Constraint Solver As an Oracle

We consider the problem of sampling from solutions defined by a set of h...

0 Stefano Ermon, et al. ∙

∙ 03/15/2012

Understanding Sampling Style Adversarial Search Methods

UCT has recently emerged as an exciting new adversarial reasoning techni...

0 Raghuram Ramanujan, et al. ∙

∙ 03/15/2012

Playing games against nature: optimal policies for renewable resource allocation

In this paper we introduce a class of Markov decision processes that ari...

0 Stefano Ermon, et al. ∙

∙ 07/01/2011

Unstructured Human Activity Detection from RGBD Images

Being able to detect and recognize human activities is essential for sev...

0 Jaeyong Sung, et al. ∙

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