Abstract: Offline reinforcement learning (RL) has gathered increasing attention in recent years, which seeks to learn policies from static datasets without active online exploration. However, the ...

We study the off-dynamics offline reinforcement learning (RL) problem, where the goal is to learn a policy from offline datasets collected from source and target domains with mismatched transition ...

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Abstract: Offline reinforcement learning strives to enable agents to effectively utilize pre-collected offline datasets for learning. Such an offline setup tremendously mitigates the problems of ...

Offline account support Automatic JRE download Automatic assets and libraries download Multiple game versions Custom launch options and memory amount ...

In 2025, Java is expected to be a solid AI and machine-learning language. Best Java libraries for AI in 2025 can ease building neural networks, predictive modeling, and data processing. These tools ...

The Disney+ video streaming service is finally available on Quest. While better late than never, it’s actually missing out on a few key features for now. The Horizon Store finally has it own dedicated ...