Electric vehicles were sold as a way to clean up city air, not just the climate. For years, that promise was more theory than ...

These versatile strategies—from brain dumps to speed sharing—help students track their own progress while informing your next instructional steps.

Even when addressing difficult topics on the job, discussions don’t have to be uncomfortable or awkward.

Artificial reinforcement learning is just one lens to evaluate organizations. However, this thought experiment taught me that ...

Exchange-traded funds investing in Bitcoin are heading for their worst month of outflows since launching nearly two years ago, piling yet more pressure on a jaded crypto market. Investors have pulled ...

Hierarchical reinforcement learning (RL) aims to improve sample efficiency by decomposing complex long-horizon tasks into fast low-level myopic and slower high-level non-myopic subtasks. However, the ...

Around 9,000 years ago, East Antarctica went through a dramatic meltdown that was anything but isolated. Scientists have discovered that warm deep ocean water surged beneath the region’s floating ice ...

Integration of proxy records with ocean–climate modeling reveals that early Holocene ice-shelf retreat in East Antarctica was driven by oceanic forcing enhanced by meltwater discharge from neighboring ...

1 School of Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, China 2 School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China In this work, we present a ...

Traditional RL uses single scalar rewards. RLAF uses multi-perspective critic ensembles: rlaf/ ├── agents/ # Actor and Critic agents │ ├── actor.py # Agent being trained │ └── critic.py # Evaluation ...