R. Das

Publications
Influence

Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning

R. Das, S. Dhuliawala, +5 authors A. McCallum
Computer Science
ICLR
15 November 2017

We propose a new algorithm MINERVA, which addresses the much more difficult and practical task of answering questions where the relation is known, but only one entity. Expand

A Study of Control Parameters Affecting Online Performance of Genetic Algorithms for Function Optimization

J. Schaffer, R. Caruana, L. Eshelman, R. Das
Computer Science
ICGA
1 December 1989

1,073
41

Agent-Human Interactions in the Continuous Double Auction

R. Das, J. Hanson, J. Kephart, G. Tesauro
Computer Science
IJCAI
4 August 2001

We describe a series of laboratory experiments that, for the first time, allow human subjects to interact with software bidding agents in a CDA. Expand

Gaussian LDA for Topic Models with Word Embeddings

R. Das, M. Zaheer, Chris Dyer
Computer Science
ACL
1 July 2015

We replace LDA’s parameterization of “topics” as categorical distributions over opaque word types with multivariate Gaussian distributions on the embedding space. Expand

Utility functions in autonomic systems

W. Walsh, G. Tesauro, J. Kephart, R. Das
Computer Science
International Conference on Autonomic Computing…
2004

We present a distributed architecture, implemented in a realistic prototype data center, that demonstrates how utility functions can enable a collection of autonomic elements to continually optimize the use of computational resources in a dynamic, heterogeneous environment. Expand

Optimal power allocation in server farms

A. Gandhi, Mor Harchol-Balter, R. Das, C. Lefurgy
Computer Science
SIGMETRICS '09
15 June 2009

We introduce a queueing theoretic model, which allows us to predict the optimal power allocation in a server farm with a fixed power budget, which can significantly improve server farm performance, by a factor of typically 1.4 to 5 in some cases. Expand

Analyzing Complex Strategic Interactions in Multi-Agent Systems

W. Walsh, R. Das, G. Tesauro, J. Kephart
Economics
2002

We develop a model for analyzing complex games with repeated interactions, for which a full game-theoretic analysis is intractable. Our approach treats exogenously specified, heuristic strategies,… Expand

High-performance bidding agents for the continuous double auction

G. Tesauro, R. Das
Computer Science
EC '01
14 October 2001

We develop two bidding algorithms for real-time Continuous Double Auctions (CDAs) using a variety of market rules that offer what we believe to be the strongest known performance of any published bidding strategy. Expand

A multi-agent systems approach to autonomic computing

G. Tesauro, D. Chess, +5 authors S. R. White
Computer Science
Proceedings of the Third International Joint…
19 July 2004

Unity is a decentralized architecture for autonomic computing based on multiple interacting agents called autonomic elements. Expand

Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks

A. McCallum, Arvind Neelakantan, R. Das, D. Belanger
Computer Science
EACL
5 July 2016

We use RNNs to compose the distributed semantics of multi-hop paths in KBs; however for multiple reasons, the approach lacks accuracy and practicality. Expand

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