activity
20162020
most citedImplementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO

139 citations · 178 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2020★ 139 cited

Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO

Logan Engstrom, Andrew Ilyas, Shibani Santurkar +4

We study the roots of algorithmic progress in deep policy gradient algorithms through a case study on two popular algorithms: Proximal Policy Optimization (PPO) and Trust Region Po…

cs.DC2019★ 5 cited

A Secure Cloud with Minimal Provider Trust

Amin Mosayyebzadeh, Gerardo Ravago, Apoorve Mohan +12

Bolted is a new architecture for a bare metal cloud with the goal of providing security-sensitive customers of a cloud the same level of security and control that they can obtain i…

cs.DC2019★ 3 cited

Supporting Security Sensitive Tenants in a Bare-Metal Cloud

Amin Mosayyebzadeh, Apoorve Mohan, Sahil Tikale +8

Bolted is a new architecture for bare-metal clouds that enables tenants to control tradeoffs between security, price, and performance. Security-sensitive tenants can minimize their…

cs.LG2018★ 26 cited

A Closer Look at Deep Policy Gradients

Andrew Ilyas, Logan Engstrom, Shibani Santurkar +4

We study how the behavior of deep policy gradient algorithms reflects the conceptual framework motivating their development. To this end, we propose a fine-grained analysis of stat…

cs.CY2016★ 5 cited

Managing travel demand: Location recommendation for system efficiency based on mobile phone data

Yan Leng, Larry Rudolph, Alex 'Sandy' Pentland +2

Growth in leisure travel has become increasingly significant economically, socially, and environmentally. However, flexible but uncoordinated travel behaviors exacerbate traffic co…