Learning & Reinforcement

10
Learning & Learning & Reinforcement Reinforcement HRMOB 570 HRMOB 570

description

Learning & Reinforcement. HRMOB 570. Theories of Learning. Classical conditioning Reinforcement Theory Social Cognitive (aka Social Learning) Theory. Reinforcement Theory. Definition: a consequence that increases likelihood of response positive: application of pleasant - PowerPoint PPT Presentation

Transcript of Learning & Reinforcement

Page 1: Learning & Reinforcement

Learning & ReinforcementLearning & Reinforcement

HRMOB 570HRMOB 570

Page 2: Learning & Reinforcement

Theories of LearningTheories of Learning

• Classical conditioningClassical conditioning

• Reinforcement TheoryReinforcement Theory

• Social Cognitive (aka Social Learning) Social Cognitive (aka Social Learning) TheoryTheory

Page 3: Learning & Reinforcement

Reinforcement TheoryReinforcement Theory

• Definition: a consequence that increases Definition: a consequence that increases likelihood of responselikelihood of response

– positive: application of pleasantpositive: application of pleasant

– negative: removal of aversivenegative: removal of aversive

• Types of reinforcers:Types of reinforcers:

– PositivePositive

– AversiveAversive

Page 4: Learning & Reinforcement

Types of ReinforcementTypes of Reinforcement

Reward

Aversive

Apply Withdraw

Page 5: Learning & Reinforcement

Schedules of ReinforcementSchedules of Reinforcement

• ContinuousContinuous

• Intermittent:Intermittent:

– IntervalInterval

• FixedFixed

• VariableVariable

– RatioRatio

• FixedFixed

• VariableVariable

Page 6: Learning & Reinforcement

Behavior ModificationBehavior Modification• Identify behaviors that are CLEARLY related to performanceIdentify behaviors that are CLEARLY related to performance

• Measure natural occurrence of behavior across timeMeasure natural occurrence of behavior across time

• Identify events that precipitate the behavior as well as the Identify events that precipitate the behavior as well as the consequences of the behaviorconsequences of the behavior

• Develop an intervention strategy:Develop an intervention strategy:

– Pick reinforcer(s)Pick reinforcer(s)

– Decide on a schedule of reinforcementDecide on a schedule of reinforcement

– Implement scheduleImplement schedule

– Chart behavior change over timeChart behavior change over time

– Revise strategy if necessaryRevise strategy if necessary

• Assess behavioral changeAssess behavioral change

Page 7: Learning & Reinforcement

Maximizing the EffectivenessMaximizing the Effectiveness of Reinforcement of Reinforcement• More likely to work when:More likely to work when:

– Rewards are valued (give CHOICE!)Rewards are valued (give CHOICE!)

– Regular feedback on performanceRegular feedback on performance

– Reward closely follows desired behaviorReward closely follows desired behavior

– Person knows what is expected and how they will be rewardedPerson knows what is expected and how they will be rewarded

– Rewards are administered fairly and consistentlyRewards are administered fairly and consistently

• Common Problems:Common Problems:– Reinforcement not immediateReinforcement not immediate

– Reinforcement is non-contingentReinforcement is non-contingent

– Reward is not powerful enoughReward is not powerful enough

– Inconsistent distributionInconsistent distribution

Page 8: Learning & Reinforcement

Some Guidelines Regarding Some Guidelines Regarding PunishmentPunishment

• ““Hot Stove” ruleHot Stove” rule

– SwiftSwift

– Relatively intenseRelatively intense

– ImpersonalImpersonal

– Focus is on behaviorFocus is on behavior

– ConsistentConsistent

– Describe alternative acceptable behaviorDescribe alternative acceptable behavior

Page 9: Learning & Reinforcement

Social Cognitive TheorySocial Cognitive Theory

• Vicarious learningVicarious learning

• Performance is the result of:Performance is the result of:

– GoalsGoals

– self-efficacyself-efficacy

– emotional reactionsemotional reactions

Page 10: Learning & Reinforcement

Learning StylesLearning Styles

• Concrete Experiencing (thinking) Concrete Experiencing (thinking)

• Reflective Observation (watching)Reflective Observation (watching)

• Abstract Conceptualizing (thinking)Abstract Conceptualizing (thinking)

• Active Experimentation (doing)Active Experimentation (doing)


Reinforcement Learning Introduction Passive Reinforcement Learning Temporal Difference Learning Active Reinforcement Learning Applications Summary.

Reinforcement Learning Introduction Passive Reinforcement Learning Temporal Difference Learning Active Reinforcement Learning Applications Summary.

Reinforcement Learning or Active Inference?karl/Reinforcement Learning or Active... · Reinforcement Learning or Active Inference? ... From the point of view of reinforcement learning

Reinforcement Learning or Active Inference?karl/Reinforcement Learning or Active... · Reinforcement Learning or Active Inference? ... From the point of view of reinforcement learning

Inverse Reinforcement Learning - Peoplecbfinn/_files/bootcamp_inverserl.pdf · Apprenticeship Learning via Inverse Reinforcement Learning. Good introduction to inverse reinforcement

Inverse Reinforcement Learning - Peoplecbfinn/_files/bootcamp_inverserl.pdf · Apprenticeship Learning via Inverse Reinforcement Learning. Good introduction to inverse reinforcement

Cooperative Inverse Reinforcement Learning...Cooperative Inverse Reinforcement Learning Dylan Hadfield-Menell CS237: Reinforcement Learning May 31, 2017

Cooperative Inverse Reinforcement Learning...Cooperative Inverse Reinforcement Learning Dylan Hadfield-Menell CS237: Reinforcement Learning May 31, 2017

Reinforcement Learning and Deep Reinforcement Learningcse.ucdenver.edu/.../Class-22-Reinforcement-learning-DL.pdf · 2018. 11. 28. · Outlines 1 Principles of Reinforcement Learning

Reinforcement Learning and Deep Reinforcement Learningcse.ucdenver.edu/.../Class-22-Reinforcement-learning-DL.pdf · 2018. 11. 28. · Outlines 1 Principles of Reinforcement Learning

From Reinforcement Learning to Deep Reinforcement …fagostin/assets/files/...Keywords: Machine learning · Reinforcement learning Deep learning · Deep reinforcement learning 1 Introduction

From Reinforcement Learning to Deep Reinforcement …fagostin/assets/files/...Keywords: Machine learning · Reinforcement learning Deep learning · Deep reinforcement learning 1 Introduction

Multi-Objective Reinforcement Learning using Sets of Pareto … · 2020. 10. 19. · learning and multi-objective reinforcement learning. 2.1 Reinforcement Learning A reinforcement

Multi-Objective Reinforcement Learning using Sets of Pareto … · 2020. 10. 19. · learning and multi-objective reinforcement learning. 2.1 Reinforcement Learning A reinforcement

Hierarchical Deep Reinforcement Learning: Integrating ...papers.nips.cc/paper/6233-hierarchical-deep-reinforcement-learning... · work that integrates deep reinforcement learning

Hierarchical Deep Reinforcement Learning: Integrating ...papers.nips.cc/paper/6233-hierarchical-deep-reinforcement-learning... · work that integrates deep reinforcement learning

The Reinforcement Learning Toolbox – Reinforcement Learning in Optimal Control Tasks

The Reinforcement Learning Toolbox – Reinforcement Learning in Optimal Control Tasks

Reinforcement Learning: Learning algorithms

Reinforcement Learning: Learning algorithms

Inverse Reinforcement Learning CS885 Reinforcement ...

Inverse Reinforcement Learning CS885 Reinforcement ...

Reinforcement Learning Chapter 13 What is Reinforcement Learning? Q-Learning Examples 1.

Reinforcement Learning Chapter 13 What is Reinforcement Learning? Q-Learning Examples 1.

Bayesian Reinforcement Learning - mlg.eng.cam.ac.ukmlg.eng.cam.ac.uk/rowan/files/BayesianReinforcementLearning.pdf · Introduction Bayesian Reinforcement Learning Bayesian Reinforcement

Bayesian Reinforcement Learning - mlg.eng.cam.ac.ukmlg.eng.cam.ac.uk/rowan/files/BayesianReinforcementLearning.pdf · Introduction Bayesian Reinforcement Learning Bayesian Reinforcement

Deep Learning for Reinforcement Learning in Pacman · Deep Learning for Reinforcement Learning in Pacman Deep Learning für Reinforcement Learning in Pacman Vorgelegte Bachelor-Thesis

Deep Learning for Reinforcement Learning in Pacman · Deep Learning for Reinforcement Learning in Pacman Deep Learning für Reinforcement Learning in Pacman Vorgelegte Bachelor-Thesis

Reinforcement Learning

Reinforcement Learning

Tutorial: Deep Reinforcement Learning - Machine Learning ...hunch.net/~beygel/deep_rl_tutorial.pdfTutorial: Deep Reinforcement Learning - Machine Learning ...

Tutorial: Deep Reinforcement Learning - Machine Learning ...hunch.net/~beygel/deep_rl_tutorial.pdfTutorial: Deep Reinforcement Learning - Machine Learning ...

Eick: Reinforcement Learning. Reinforcement Learning Introduction Passive Reinforcement Learning Temporal Difference Learning Active Reinforcement Learning.

Eick: Reinforcement Learning. Reinforcement Learning Introduction Passive Reinforcement Learning Temporal Difference Learning Active Reinforcement Learning.

Universal Reinforcement Learning Algorithms: … Reinforcement Learning Algorithms: Survey and ... class of models hypothesesenvironments M . ... Universal Reinforcement Learning Algorithms:

Universal Reinforcement Learning Algorithms: … Reinforcement Learning Algorithms: Survey and ... class of models hypothesesenvironments M . ... Universal Reinforcement Learning Algorithms:

Reinforcement Learning & Apprenticeship Learning

Reinforcement Learning & Apprenticeship Learning

Reinforcement Learning Lecture Inverse Reinforcement Learningipvs.informatik.uni-stuttgart.de/mlr/wp-content/uploads/2017/07/09... · Reinforcement Learning Inverse Reinforcement

Reinforcement Learning Lecture Inverse Reinforcement Learningipvs.informatik.uni-stuttgart.de/mlr/wp-content/uploads/2017/07/09... · Reinforcement Learning Inverse Reinforcement