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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...
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09/20/2022
Graph Value Iteration
In recent years, deep Reinforcement Learning (RL) has been successful in...
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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 ...
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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...
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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...
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07/31/2021
Structure Amplification on Multi-layer Stochastic Block Models
Much of the complexity of social, biological, and engineered systems ari...
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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...
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06/10/2021
Cooperative Multi-Agent Fairness and Equivariant Policies
We study fairness through the lens of cooperative multi-agent learning. ...
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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...
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06/04/2020
Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning
Despite significant progress in general AI planning, certain domains rem...
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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...
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06/01/2018
Understanding Batch Normalization
Batch normalization is a ubiquitous deep learning technique that normali...
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05/23/2017
XOR-Sampling for Network Design with Correlated Stochastic Events
Many network optimization problems can be formulated as stochastic netwo...
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10/08/2016
Solving Marginal MAP Problems with NP Oracles and Parity Constraints
Arising from many applications at the intersection of decision making an...
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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...
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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...
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08/17/2015
Variable Elimination in the Fourier Domain
The ability to represent complex high dimensional probability distributi...
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11/27/2014
Pattern Decomposition with Complex Combinatorial Constraints: Application to Materials Discovery
Identifying important components or factors in large amounts of noisy da...
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09/26/2013
Optimization With Parity Constraints: From Binary Codes to Discrete Integration
Many probabilistic inference tasks involve summations over exponentially...
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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...
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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...
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02/06/2013
Algorithm Portfolio Design: Theory vs. Practice
Stochastic algorithms are among the best for solving computationally har...
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01/10/2013
A Bayesian Approach to Tackling Hard Computational Problems
We are developing a general framework for using learned Bayesian models ...
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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...
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03/15/2012
Understanding Sampling Style Adversarial Search Methods
UCT has recently emerged as an exciting new adversarial reasoning techni...
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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...
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07/01/2011
