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
[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
introduce XLand-MiniGrid, a library of grid world environments for meta-RL research. It does not compromise on task complexity in favour of affordability, democratizing large scale experimentation with limited resources. 2 XLand-MiniGrid We present an initial release of XLand-MiniGrid(v0.0.1), a suit of tools and grid world environments
[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
XLand-MiniGrid：JAX 中的可扩展元强化学习环境,arXiv
我们推出 XLand-MiniGrid,这是一套工具和网格世界环境,适用于 元强化学习研究的灵感来自于多样性和深度 XLand 和 MiniGrid 的简单性和极简主义。 XLand-Minigrid编
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
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
[2312.12044v3] 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
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
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 开源项目教程
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
Российские учёные создали первую открытую среду для
Виртуальная среда XLand-MiniGrid, в которой ИИ обучается принимать решения и выполнять новые действия, создана группой учёных из лаборатории научных исследований искусственного интеллекта T-Bank AI Research и Института AIRI при
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
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: Scalable Meta-Reinforcement Learning
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
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-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
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
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
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.
Учёные из T-Bank AI Research и AIRI создали
Например, в XLand-MiniGrid собрано 100 млрд примеров действий искусственного интеллекта в 30 тыс. задач. Это позволяет использовать готовые датасеты для обучения, а не проводить его каждый раз с нуля.
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
[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
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
Tutorial on Creating Environments
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. MiniGrid Documentation
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