Variance Reduction for Reinforcement Learning in Input-Driven
Environments

Variance Reduction for Reinforcement Learning in Input-Driven Environments

6 July 2018

S. Venkatakrishnan

Malte Schwarzkopf

Mohammad Alizadeh

Papers citing "Variance Reduction for Reinforcement Learning in Input-Driven Environments"

15 / 15 papers shown

Title
Orchestrating Joint Offloading and Scheduling for Low-Latency Edge SLAM Yao Zhang Yuyi Mao Hui Wang Zhiwen Yu Song Guo Jun Zhang Liang Wang B. Guo 48 0 0 23 Feb 2025
Online Reinforcement Learning in Non-Stationary Context-Driven Environments Pouya Hamadanian Arash Nasr-Esfahany Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh CLL OffRL 42 0 0 04 Feb 2023
The Role of Baselines in Policy Gradient Optimization Jincheng Mei Wesley Chung Valentin Thomas Bo Dai Csaba Szepesvári Dale Schuurmans 24 15 0 16 Jan 2023
Hindsight Learning for MDPs with Exogenous Inputs Sean R. Sinclair Felipe Vieira Frujeri Ching-An Cheng Luke Marshall Hugo Barbalho Jingling Li Jennifer Neville Ishai Menache Adith Swaminathan 18 22 0 13 Jul 2022
Reinforcement Learning for Branch-and-Bound Optimisation using Retrospective Trajectories Christopher W. F. Parsonson Alexandre Laterre Thomas D. Barrett 17 19 0 28 May 2022
CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation Abdullah Alomar Pouya Hamadanian Arash Nasr-Esfahany Anish Agarwal MohammadIman Alizadeh Devavrat Shah CML 21 22 0 05 Jan 2022
A Survey on Deep Reinforcement Learning for Data Processing and Analytics Qingpeng Cai Can Cui Yiyuan Xiong Wei Wang Zhongle Xie Meihui Zhang OffRL 21 29 0 10 Aug 2021
Real-world Video Adaptation with Reinforcement Learning Hongzi Mao Shannon Chen Drew Dimmery Shaun Singh Drew Blaisdell Yuandong Tian Mohammad Alizadeh E. Bakshy OffRL 6 76 0 28 Aug 2020
Gradient Monitored Reinforcement Learning Mohammed Sharafath Abdul Hameed Gavneet Singh Chadha Andreas Schwung S. Ding 14 10 0 25 May 2020
DeepSoCS: A Neural Scheduler for Heterogeneous System-on-Chip (SoC) Resource Scheduling Tegg Taekyong Sung J. Ha Jeewoo Kim Alex Yahja Chae-Bong Sohn Bo Ryu 6 9 0 15 May 2020
Learning Compact Models for Planning with Exogenous Processes Rohan Chitnis Tomás Lozano-Pérez 11 20 0 30 Sep 2019
Comyco: Quality-Aware Adaptive Video Streaming via Imitation Learning Tianchi Huang Chao Zhou Ruixiao Zhang Chenglei Wu Xin Yao Lifeng Sun 15 90 0 06 Aug 2019
Learning Scheduling Algorithms for Data Processing Clusters Hongzi Mao Malte Schwarzkopf S. Venkatakrishnan Zili Meng Mohammad Alizadeh OffRL 13 635 0 03 Oct 2018
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 131 928 0 07 Jul 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 314 11,681 0 09 Mar 2017