Stem reward$ (all stems)

57 papers:

FM-2015-QuatmannJDWAKB

Counterexamples for Expected Rewards (TQ, NJ, CD, RW, EÁ, JPK, BB), pp. 435–452.

HCI-IT-2015-GohPL #game studies

An Investigation of Reward Systems in Human Computation Games (DHLG, EPPPT, CSL), pp. 596–607.

ECIR-2015-LuoZDY #design #using

Designing States, Actions, and Rewards for Using POMDP in Session Search (JL, SZ, XD, HY), pp. 526–537.

QAPL-2015-BortolussiH #markov #modelling #performance

Efficient Checking of Individual Rewards Properties in Markov Population Models (LB, JH), pp. 32–47.

HPCA-2015-IslamMRW #low cost

Paying to save: Reducing cost of colocation data center via rewards (MAI, AHM, SR, XW), pp. 235–245.

VMCAI-2015-BraitlingFHWBH #automaton #markov #metric

Abstraction-Based Computation of Reward Measures for Markov Automata (BB, LMFF, HH, RW, BB, HH), pp. 172–189.

ITiCSE-2014-HortonC

Impact of reward structures in an inverted course (DH, JC), p. 341.

DUXU-DI-2014-ChoiCSLY #case study #crowdsourcing #design

A Study about Designing Reward for Gamified Crowdsourcing System (JC, HC, WS, JL, JY), pp. 678–687.

SAC-2014-ShoshitaishviliIDV #analysis #scalability #security #trade-off

Do you feel lucky?: a large-scale analysis of risk-rewards trade-offs in cyber security (YS, LI, AD, GV), pp. 1649–1656.

FoSSaCS-2013-UmmelsB #markov #modelling

Computing Quantiles in Markov Reward Models (MU, CB), pp. 353–368.

ICML-c1-2013-GrinbergP #optimisation

Average Reward Optimization Objective In Partially Observable Domains (YG, DP), pp. 320–328.

ICML-c3-2013-TamarCM #difference

Temporal Difference Methods for the Variance of the Reward To Go (AT, DDC, SM), pp. 495–503.

ICSE-2013-SnipesANM #developer #performance #towards

Towards recognizing and rewarding efficient developer work patterns (WS, VA, ARN, ERMH), pp. 1277–1280.

CHI-2012-WilliamsonM

Rewarding the original: explorations in joint user-sensor motion spaces (JW, RMS), pp. 1717–1726.

CIKM-2012-ZhouCLJ

Evaluating reward and risk for vertical selection (KZ, RC, ML, JMJ), pp. 2631–2634.

SIGIR-2012-ZhaoHW #information retrieval #probability

Rewarding term location information to enhance probabilistic information retrieval (JZ, JXH, SW), pp. 1137–1138.

GPCE-2012-BauerEFP #adaptation #performance

Faster program adaptation through reward attribution inference (TB, ME, AF, JP), pp. 103–111.

ASE-2011-Groce #adaptation #generative #programming

Coverage rewarded: Test input generation via adaptation-based programming (AG), pp. 380–383.

ICPC-2011-EndrikatH #aspect-oriented #development #maintenance #programming

Is Aspect-Oriented Programming a Rewarding Investment into Future Code Changes? A Socio-technical Study on Development and Maintenance Time (SE, SH), pp. 51–60.

SEKE-2011-El-KharboutlyG #analysis #architecture #concurrent #probability #reliability #using

Architecture-based Reliability Analysis of Concurrent Software Applications using Stochastic Reward Nets (REK, SSG), pp. 635–639.

QAPL-2011-DengGHM #probability #process #testing

Real-Reward Testing for Probabilistic Processes (Extended Abstract) (YD, RJvG, MH, CM), pp. 61–73.

CHI-2010-BerkovskyCFBB #game studies #physics #process

Physical activity motivating games: virtual rewards for real activity (SB, MC, JF, DB, NB), pp. 243–252.

ICML-2010-LizotteBM #analysis #learning #multi #performance #random

Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis (DJL, MHB, SAM), pp. 695–702.

ICML-2010-SorgSL #bound

Internal Rewards Mitigate Agent Boundedness (JS, SPS, RLL), pp. 1007–1014.

SAC-2009-BoucherZ #owl

Leveraging OWL for GIS interoperability: rewards and pitfalls (SB, EZ), pp. 1267–1272.

VMCAI-2009-JurdzinskiLR #automaton #game studies #hybrid

Average-Price-per-Reward Games on Hybrid Automata with Strong Resets (MJ, RL, MR), pp. 167–181.

ICALP-A-2008-EtessamiWY #game studies #probability #recursion

Recursive Stochastic Games with Positive Rewards (KE, DW, MY), pp. 711–723.

OCSC-2007-HoislAM #community #social #wiki

Social Rewarding in Wiki Systems — Motivating the Community (BH, WA, SM), pp. 362–371.

OCSC-2007-Jang #community #game studies #online #self

Managing Fairness: Reward Distribution in a Self-organized Online Game Player Community (CYJ), pp. 375–384.

ICML-2007-Marthi #automation #composition

Automatic shaping and decomposition of reward functions (BM), pp. 601–608.

ICML-2007-PetersS #learning

Reinforcement learning by reward-weighted regression for operational space control (JP, SS), pp. 745–750.

ICML-2006-SimsekB #performance

An intrinsic reward mechanism for efficient exploration (ÖS, AGB), pp. 833–840.

KR-2006-BonetG #heuristic #using

Heuristics for Planning with Penalties and Rewards using Compiled Knowledge (BB, HG), pp. 452–462.

DAC-2005-CortesEP #energy #realtime

Quasi-static assignment of voltages and optional cycles for maximizing rewards in real-time systems with energy c-onstraints (LAC, PE, ZP), pp. 889–894.

ICML-2005-WangLBS #online #optimisation

Bayesian sparse sampling for on-line reward optimization (TW, DJL, MHB, DS), pp. 956–963.

CSEET-2004-SuriS #challenge #education #process #re-engineering

Incorporating Software Process in an Undergraduate Software Engineering Curriculum: Challenges and Rewards (DS, MJS), pp. 18–23.

ICPR-v4-2004-FrancoMN #editing

Reward-Punishment Editing (AF, DM, LN), pp. 424–427.

ICSE-2004-SoundarajanH #design pattern #specification

Responsibilities and Rewards: Specifying Design Patterns (NS, JOH), pp. 666–675.

HPDC-2004-IrwinGC

Balancing Risk and Reward in a Market-Based Task Service (DEI, LEG, JSC), pp. 160–169.

ITiCSE-2003-Hazzan03a #concept #student

Computer science students’ conception of the relationship between reward (grade) and cooperation (OH), pp. 178–182.

ICML-2003-LaudD #analysis #learning

The Influence of Reward on the Speed of Reinforcement Learning: An Analysis of Shaping (AL, GD), pp. 440–447.

ICML-2002-GhavamzadehM #learning

Hierarchically Optimal Average Reward Reinforcement Learning (MG, SM), pp. 195–202.

ICML-2002-SeriT #learning #modelling

Model-based Hierarchical Average-reward Reinforcement Learning (SS, PT), pp. 562–569.

ICML-2002-ShapiroL #learning #using

Separating Skills from Preference: Using Learning to Program by Reward (DGS, PL), pp. 570–577.

ICML-2001-SatoK #learning #markov #problem

Average-Reward Reinforcement Learning for Variance Penalized Markov Decision Problems (MS, SK), pp. 473–480.

UML-2001-Damm #comprehension #uml

Understanding UML — Pains and Rewards (WD), p. 240.

ICML-2000-GoldbergM #learning #modelling #multi

Learning Multiple Models for Reward Maximization (DG, MJM), pp. 319–326.

ICSE-2000-Colyer #challenge #research

From research to reward: challenges in technology transfer (AMC), pp. 569–576.

ITiCSE-1999-ParkerH #industrial #risk management

Campus-based industrial software projects: risks and rewards (HP, MH), p. 189.

ICML-1999-NgHR #policy #theory and practice

Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping (AYN, DH, SJR), pp. 278–287.

ICALP-1997-Bernardo #algebra

An Algebra-Based Method to Associate Rewards with EMPA Terms (MB), pp. 358–368.

ICML-1996-Mahadevan #learning

Sensitive Discount Optimality: Unifying Discounted and Average Reward Reinforcement Learning (SM), pp. 328–336.

ICML-1996-TadepalliO #approximate #domain model #learning #modelling #scalability

Scaling Up Average Reward Reinforcement Learning by Approximating the Domain Models and the Value Function (PT, DO), pp. 471–479.

ICML-1995-KimuraYK #learning #probability

Reinforcement Learning by Stochastic Hill Climbing on Discounted Reward (HK, MY, SK), pp. 295–303.

ICML-1995-MoriartyM #evolution #learning #performance

Efficient Learning from Delayed Rewards through Symbiotic Evolution (DEM, RM), pp. 396–404.

ICML-1994-Mataric #learning

Reward Functions for Accelerated Learning (MJM), pp. 181–189.

ICML-1993-Schwartz #learning

A Reinforcement Learning Method for Maximizing Undiscounted Rewards (AS), pp. 298–305.