Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Intelligence Through Interaction: Towards a Unified Theory for Learning
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Making Them Remember—Emotional Virtual Characters with Memory
IEEE Computer Graphics and Applications
A Socially-Aware Memory for Companion Agents
IVA '09 Proceedings of the 9th International Conference on Intelligent Virtual Agents
How Do Place and Objects Combine? "What-Where" Memory for Human-Like Agents
IVA '09 Proceedings of the 9th International Conference on Intelligent Virtual Agents
A theory of forgetting in logic programming
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Forgetting actions in domain descriptions
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Extending cognitive architecture with episodic memory
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Affective computing with primary and secondary emotions in a virtual human
Autonomous Agents and Multi-Agent Systems
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Memory enables past experiences to be remembered and acquired as useful knowledge to support decision making, especially when perception and computational resources are limited. This paper presents a neuropsychological-inspired dual memory model for agents, consisting of an episodic memory that records the agent's experience in real time and a semantic memory that captures factual knowledge through a parallel consolidation process. In addition, the model incorporates a natural forgetting mechanism that prevents memory overloading by removing transient memory traces. Our experimental study based on a real-time first-person-shooter video game has indicated that the memory consolidation and forgetting processes are not only able to extract valuable knowledge and regulate the memory capacity, but they can mutually improve the effectiveness of learning the knowledge for the given task in hand. Interestingly, a moderate level of forgetting may even improve the task performance rather than disadvantaging it. We suggest that the interplay between rapid memory formation, consolidation, and forgetting processes points to a practical and effective approach for learning agents to acquire and maintain useful knowledge from experiences in a scalable manner.