Search Results for author:
Found 4 papers, 2 papers with code
Learning in Cooperative Multiagent Systems Using Cognitive and Machine Models
Developing effective Multi-Agent Systems (MAS) is critical for many applications requiring collaboration and coordination with humans.
Credit Assignment: Challenges and Opportunities in Developing Human-like AI Agents
Temporal credit assignment is crucial for learning and skill development in natural and artificial intelligence.
Learning to Defend by Attacking (and Vice-Versa): Transfer of Learning in Cybersecurity Games
Designing cyber defense systems to account for cognitive biases in human decision making has demonstrated significant success in improving performance against human attackers.
SpeedyIBL: A Comprehensive, Precise, and Fast Implementation of Instance-Based Learning Theory
Instance-Based Learning Theory (IBLT) is a comprehensive account of how humans make decisions from experience during dynamic tasks.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
