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Performance bounded reinforcement learning in strategic interactions
Bikramjit Banerjee
,
Jing Peng
Computer Science
Research output
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Contribution to conference
›
Paper
›
peer-review
26
Scopus citations
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Keyphrases
Automated Agents
50%
Best Response
50%
Business Domain
50%
Expected Regret
50%
Fully Automated
50%
General-sum Games
50%
Industry Domain
50%
Lack of Trust
50%
Learning Agents
50%
Learning Algorithm
100%
Learning Context
50%
Multi-agent Learning
100%
Multi-agent Systems
100%
Multi-agent Technology
50%
Nash Equilibrium
50%
Payoff
50%
Performance Guarantee
50%
Practical Utility
50%
Regret
50%
Reinforcement Learning
100%
Self-adaptive
50%
Self-performance
50%
Self-play
50%
Strategic Interaction
100%
User Confidence
50%
Computer Science
Agent Technology
50%
Learning Agent
50%
Learning Algorithm
100%
Multi Agent Systems
100%
multiagent learning
100%
Nash Equilibrium
50%
Performance Guarantee
50%
Reinforcement Learning
100%
Strategic Interaction
100%