arXiv:2109.08057
공식 코드 · Papers with Code
Evolutionary Self-Replication as a Mechanism for Producing Artificial Intelligence
원문 초록
Can reproduction alone in the context of survival produce intelligence in our machines? In this work, self-replication is explored as a mechanism for the emergence of intelligent behavior in modern learning environments. By focusing purely on survival, while undergoing natural selection, evolved organisms are shown to produce meaningful, complex, and intelligent behavior, demonstrating creative solutions to challenging problems without any notion of reward or objectives. Atari and robotic learning environments are re-defined in terms of natural selection, and the behavior which emerged in self-replicating organisms during these experiments is described in detail.
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Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across Domains
Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic Environments
Meta-learning how to Share Credit among Macro-Actions
TextAtari: 100K Frames Game Playing with Language Agents
Unraveling the Rainbow: can value-based methods schedule?
Frog Soup: Zero-Shot, In-Context, and Sample-Efficient Frogger Agents
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