Saint Barthélemy xland minigrid
NeurIPS Poster XLand-MiniGrid: Scalable Meta-Reinforcement
Written in JAX, XLand-MiniGrid is designed to be highly scalable and can potentially run on GPU or TPU accelerators, democratizing large-scale experimentation with limited resources. Along with the environments, XLand-MiniGrid provides pre-sampled benchmarks with millions of unique tasks of varying difficulty and easy-to-use baselines that
NeurIPS XLand-MiniGrid: Scalable Meta-Reinforcement Learning
Abstract: We present XLand-Minigrid, a suite of tools and grid-world environments for meta-reinforcement learning research inspired by the diversity and depth of XLand and the simplicity
[2312.12044] XLand-MiniGrid: Scalable Meta-Reinforcement
Abstract: Inspired by the diversity and depth of XLand and the simplicity and minimalism of MiniGrid, we present XLand-MiniGrid, a suite of tools and grid-world environments for meta-reinforcement learning research. Written in JAX, XLand-MiniGrid is designed to be highly scalable and can potentially run on GPU or TPU accelerators, democratizing
[PDF] XLand-MiniGrid: Scalable Meta-Reinforcement Learning
XLand-MiniGrid is a suite of tools and grid-world environments for meta-reinforcement learning research designed to be highly scalable and can potentially run on
[晓理紫]每日论文分享(有中文摘要,源码或项目地址)--强化学习、机器人等_xland-minigrid
受XLand的多样性和深度以及MiniGrid的简单性和极简主义的启发,我们推出了XLand-MiniGrid,这是一套用于元强化学习研究的工具和网格世界环境。 XLand-MiniGrid是用JAX编写的,它被设计成高度可扩展的,并且有可能在GPU或TPU加速器上运行,从而在有限的资
[晓理紫]每日论文分享(有中文摘要,源码或项目地址)--强化学习、
受XLand的多样性和深度以及MiniGrid的简单性和极简主义的启发,我们推出了XLand-MiniGrid,这是一套用于元强化学习研究的工具和网格世界环境。 XLand-MiniGrid是
GitHub
XLand-MiniGrid is a suite of tools, grid-world environments and benchmarks for meta-reinforcement learning research inspired by the diversity and depth of XLand and the simplicity
XLand-MiniGrid: Scalable Meta-Reinforcement Learning
Written in JAX, XLand-MiniGrid is designed to be highly scalable and can potentially run on GPU or TPU accelerators, democratizing large-scale experimentation with limited resources. Along with the environments, XLand-MiniGrid provides pre-sampled benchmarks with millions of unique tasks of varying difficulty and easy-to-use baselines that
Paper page
We present XLand-MiniGrid, a suite of tools and grid-world environments for meta-reinforcement learning research inspired by the diversity and depth of XLand and the simplicity and minimalism of MiniGrid. XLand-Minigrid is written in JAX, designed to be highly scalable, and can potentially run on GPU or TPU accelerators, democratizing large
XLand-MiniGrid: Scalable Meta-Reinforcement Learning
Written in JAX, XLand-MiniGrid is designed to be highly scalable and can potentially run on GPU or TPU accelerators, democratizing large-scale experimentation with
NeurIPS XLand-MiniGrid: Scalable Meta-Reinforcement Learning
Abstract: We present XLand-Minigrid, a suite of tools and grid-world environments for meta-reinforcement learning research inspired by the diversity and depth of XLand and the simplicity and minimalism of MiniGrid. XLand-Minigrid is written in JAX, designed to be highly scalable, and can potentially run on GPU or TPU accelerators, democratizing
[晓理紫]每日论文分享 (有中文摘要,源码或项目地址)--强化学习、
受XLand的多样性和深度以及MiniGrid的简单性和极简主义的启发,我们推出了XLand-MiniGrid,这是一套用于元强化学习研究的工具和网格世界环境。 XLand-MiniGrid是
[PDF] XLand-MiniGrid: Scalable Meta-Reinforcement Learning
XLand-MiniGrid is a suite of tools and grid-world environments for meta-reinforcement learning research designed to be highly scalable and can potentially run on GPU or TPU accelerators, democratizing large-scale experimentation with limited resources.
XLand-MiniGrid：JAX中的元强化学习利器
XLand-MiniGrid 是一个专为元强化学习研究设计的工具套件,结合了 XLand 的多样性和深度,以及 MiniGrid 的简洁性和极简主义。该项目完全使用 JAX 从头开始构建,旨在
XLand-MiniGrid：JAX中的元强化学习利器
XLand-MiniGrid 是一个专为元强化学习研究设计的工具套件,结合了 XLand 的多样性和深度,以及 MiniGrid 的简洁性和极简主义。该项目完全使用 JAX 从头开始构建,旨在实现高度可扩展性,使资源有限的团队也能进行大规模实验。
[晓理紫]每日论文分享 (有中文摘要,源码或项目地址)--强化学习、
受XLand的多样性和深度以及MiniGrid的简单性和极简主义的启发,我们推出了XLand-MiniGrid,这是一套用于元强化学习研究的工具和网格世界环境。 XLand-MiniGrid是用JAX编写的,它被设计成高度可扩展的,并且有可能在GPU或TPU加速器上运行,从而在有限的资
[2312.12044] XLand-MiniGrid: Scalable Meta-Reinforcement
Abstract: Inspired by the diversity and depth of XLand and the simplicity and minimalism of MiniGrid, we present XLand-MiniGrid, a suite of tools and grid-world
GitHub
XLand-MiniGrid is a suite of tools, grid-world environments and benchmarks for meta-reinforcement learning research inspired by the diversity and depth of XLand and the simplicity and minimalism of MiniGrid. Despite the similarities, XLand-MiniGrid is written in JAX from scratch and designed to be highly scalable, democratizing large-scale
NeurIPS Poster XLand-MiniGrid: Scalable Meta-Reinforcement
Written in JAX, XLand-MiniGrid is designed to be highly scalable and can potentially run on GPU or TPU accelerators, democratizing large-scale experimentation with limited resources. Along
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