activity
20112026
most citedMulti-document abstractive summarization using ILP based multi-sentence compression

129 citations · 605 across the 54 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

cs.AI2020★ 3 cited

Explainable AI for System Failures: Generating Explanations that Improve Human Assistance in Fault Recovery

Devleena Das, Siddhartha Banerjee, Sonia Chernova

With the growing capabilities of intelligent systems, the integration of artificial intelligence (AI) and robots in everyday life is increasing. However, when interacting in such c…

cs.GT2020★ 3 cited

Sequential Fair Allocation of Limited Resources under Stochastic Demands

Sean R. Sinclair, Gauri Jain, Siddhartha Banerjee +1

We consider the problem of dividing limited resources between a set of agents arriving sequentially with unknown (stochastic) utilities. Our goal is to find a fair allocation - one…

cs.GT2020★ 1 cited

The Limits of an Information Intermediary in Auction Design

Reza Alijani, Siddhartha Banerjee, Kamesh Munagala +1

We study the limits of an information intermediary in the classical Bayesian auction, where a revenue-maximizing seller sells one item to buyers with independent private values…

cs.GT2020★ 10 cited

Online Nash Social Welfare Maximization with Predictions

Siddhartha Banerjee, Vasilis Gkatzelis, Artur Gorokh +1

We consider the problem of allocating a set of divisible goods to agents in an online manner, aiming to maximize the Nash social welfare, a widely studied objective which provi…

cs.LG2020★ 9 cited

Adaptive Discretization for Model-Based Reinforcement Learning

Sean R. Sinclair, Tianyu Wang, Gauri Jain +2

We introduce the technique of adaptive discretization to design an efficient model-based episodic reinforcement learning algorithm in large (potentially continuous) state-action sp…

cs.RO2020★ 1 cited

Taking Recoveries to Task: Recovery-Driven Development for Recipe-based Robot Tasks

Siddhartha Banerjee, Angel Daruna, David Kent +9

Robot task execution when situated in real-world environments is fragile. As such, robot architectures must rely on robust error recovery, adding non-trivial complexity to highly-c…

cs.GT2020★ 2 cited

Predict and Match: Prophet Inequalities with Uncertain Supply

Reza Alijani, Siddhartha Banerjee, Sreenivas Gollapudi +2

We consider the problem of selling perishable items to a stream of buyers in order to maximize social welfare. A seller starts with a set of identical items, and each arriving buye…