Oxford University researchers present Craftax: a machine learning benchmark for open reinforcement learning
The creation and use of appropriate benchmarks is an important driver of the advancement of RL algorithms. For deep value-based ...
The creation and use of appropriate benchmarks is an important driver of the advancement of RL algorithms. For deep value-based ...
One of the most intriguing challenges is enabling ai agents to emulate human-like planning capabilities. Such capabilities would allow these ...
In the ever-evolving landscape of natural language processing (NLP), the quest to bridge the gap between machine interpretation and the ...
The field of artificial intelligence (ai) has always had the goal of automating everyday computing operations using autonomous agents. Basically, ...
When deploying a large language model (LLM), machine learning (ML) practitioners typically care about two measurements for model serving performance: ...
LLMs are trained with large amounts of web data, which can lead to the inadvertent memorization and reproduction of confidential ...
In conversational ai, assessing Theory of Mind (ToM) through question answering has become an essential benchmark. However, passive narratives need ...
A paradigm shift in multimodal learning has occurred thanks to the contributions of large multimodal core models such as CLIP, ...
LIBERO, a reference for lifelong learning in robot manipulation, focuses on the transfer of knowledge in declarative and procedural areas. ...
Unlike narrow or specialized ai systems designed for specific tasks, Artificial General Intelligence (AGI) can perform a wide range of ...