A Theory of AI
Learning Efficiency
To train complex models parameter, space needs to be explored effectively, and key features recognized. Just like humans, classical strategies can struggle to identify the connections between critical events and drastic consequences that only manifest much later. We research distributed learning strategies and adaptive approaches for adjusting the training path or the attribution of rewards.