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Breaking the spurious link: How causal models fix offline reinforcement learning's generalization problemResearchers from Nanjing University and Carnegie Mellon University have introduced an AI approach that improves how machines learn from past data—a process known as offline reinforcement learning.
Long-term, widespread AI coding might hamper learning, problem-solving and—eventually—the ability to maintain software ...
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