Abstract arXiv:2312.12044v2 [cs.LG] 6 Feb 2024
Minigrid 是一个轻量级的网格世界环境,适用于快速原型设计和算法测试。xland-minigrid 在此基础上增加了更多功能和优化,使其更适合复杂场景的应用。 项目快速启动 安装
ICML 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
XLand-MiniGrid: Scalable Meta-Reinforcement Learning
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-scale experimentation with limited
XLand-MiniGrid
Продукт XLand-MiniGrid, История, 2024 Анонс продукта. История 2024: Анонс продукта. 29 ноября 2024 года стало известно о том, что российские ученые из лаборатории T-Bank AI Research и Института AIRI в сотрудничестве со студентами МФТИ
Alexander Nikulin
Alexander Nikulin. Hi there! I am a PhD student at MIPT, studying Offline Reinforcement Learning.I''m also working as a Senior Research Scientist at AIRI, publishing papers and supervising students fore AIRI, I worked at Tinkoff AI.I''m best known for my work as a core developer of the CORL library and the XLand-MiniGrid environment. Before that, I completed a
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
[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
文章浏览阅读813次,点赞16次,收藏13次。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,从而在有限的资源下实现大
Releases · corl-team/xland-minigrid
What''s Changed. This is our first stable release accompanied with the public full paper preprint on the arxiv (there is a lot of new content!). Compared to the workshop version, the library was almost completely rewritten, previously missing benchmarks, examples and baselines were added, and the interface of the environments was redesigned the latest update we added
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 large-scale experimentation
xminigrid
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
XLand-MiniGrid: Scalable Meta-Reinforcement Learning
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-scale
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
XLand-MiniGrid: Scalable Meta-Reinforcement Learning
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-scale
2312.12044
XLand-Minigrid is written in JAX, designed to be highly scalable, and can potentially run on GPU or TPU accelerators, democratizing large-scale experimentation with limited resources. To demonstrate the generality of our library, we have implemented some well-known single-task environments as well as new meta-learning environments capable of
[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. Inspired by the diversity and depth of XLand and the simplicity and minimalism of MiniGrid, we present
XLand-MiniGrid: Scalable Meta-Reinforcement Learning
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,
XLand-MiniGrid Walkthrough
In XLand-MiniGrid, the system of rules and goals is the cornerstone of the emergent complexity and diversity. In the original MiniGrid some environments have dynamic goals, but the dynamics are never changed. To train and evaluate highly adaptive agents, we need to be able to change the dynamics in non-trivial ways.
Abstract arXiv:2312.12044v2 [cs.LG] 6 Feb 2024
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 learn-ing research. Written in JAX, XLand-MiniGrid is designed to be highly scalable and can poten-tially run on GPU or TPU accelerators, democ-
Российские ученые создали платформу для контекстного
XLand-MiniGrid появился, чтобы закрыть этот пробел», — пояснил Вячеслав Синий из T-Bank AI Research. Руководитель группы «Адаптивные агенты» Владислав Куренков добавил, что благодаря разнообразию задач
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context
Environment. XLand-MiniGrid is a complete rewrite of MiniGrid (Chevalier-Boisvert et al., 2023) in JAX (Bradbury et al., 2018), incorporating a notion of rules and goals from XLand (Team et al., 2023). Leveraging JAX, it can run on a GPU or TPU accelerators at millions steps per seconds. At its core, it is a goal-oriented
Roadmap to v1.0 · Issue #1 · corl-team/xland-minigrid
Key (like in Minigrid) Door (like in Minigrid) Box (like in Minigrid) (may reduce FPS!!!) Actions. stochasticity (could be done with a wrapper) Rules & Goals. procedural generator (like in xland v2) pre-sampled benchmarks, 500-1M tasks; Map. different grid layouts (mazes, rooms, objects) Envs. porting majority of minigrid envs; full xland
MiniGrid Documentation
Minigrid contains simple and easily configurable grid world environments to conduct Reinforcement Learning research. This library was previously known as gym-minigrid. Toggle site navigation sidebar. MiniGrid Documentation. Farama Foundation Hide navigation sidebar. Hide table of contents sidebar
[2312.12044] XLand-MiniGrid: Scalable Meta-Reinforcement
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 large-scale
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
[Feature Request] Add Maze-like env · Issue #2 · corl-team/xland-minigrid
We''re unfortunately unlikely to be doing this anytime soon (it''s in the plans for post v1.0, ~2-3 months), as we''re currently busy working on getting XLand-MiniGrid to full paper and focused on meta-RL part (benchmarks), but we welcome any contributions, as grid randomization will definitely add new challenges to the meta-learning, as well as
探索无界：XLand-MiniGrid
XLand-MiniGrid是一个基于JAX构建的元强化学习框架,其设计目标是提供多样化的任务和规则系统,同时保持易于理解和修改的特点。 它的核心亮点在于其兼容性、性能
XLand-MiniGrid
XLand-MiniGrid is a suite of tools, grid-world environments and benchmarks for meta-reinforcement learning research inspired bynthe diversity and depth of XLandnand the simplicity and minimalism of MiniGrid. Despite the similarities,nXLand-MiniGrid is written in JAX from scratch and designed to be highly scalable, democratizing large-scale
xland-minigrid 开源项目教程
文章浏览阅读413次,点赞5次,收藏3次。xland-minigrid 开源项目教程 xland-minigrid JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid ????️_xland 强化学习
Paper page
XLand-Minigrid is written in JAX, designed to be highly scalable, and can potentially run on GPU or TPU accelerators, democratizing large-scale experimentation with limited resources. To demonstrate the generality of our library, we have implemented some well-known single-task environments as well as new meta-learning environments capable of