Topic: minigrid Goto Github
Some thing interesting about minigrid
Some thing interesting about minigrid
minigrid,读书会,书友会小程序:书籍是人类进步的阶梯,在信息高度发达而浮躁的当下,静下心来读书成为都市人群的新趋势, 很多读书社团应运而生,那么通过小程序,把读书会搬到手机上,通过小程序了解最热门的书单和作家,可以每天组织阅读打卡和评比;书友会时常组织书友进行书友会线下活动,那么通过小程序可以方便的搞定报名、签到、活动信息收集,活动结束后还可以进行评价
User: 3075426724
minigrid,This is Electra blockchain's repository for a decentralized micro-grid electricity exchange solution
User: alkia
minigrid,JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️
Organization: corl-team
minigrid,Solving games with reinforcement learning
User: cpuheater
minigrid,Project for the course Deep Learning and Applied AI a.y. 2021/2022, Dept. of Computer Science, Prof. Emanuele Rodolà
User: dennisrotondi
minigrid,This notebook trains an agent to navigate a maze and reach a desired destination. It uses the Gym-MiniGrid's fourRoom-v0 environment as the maze. The agent is trained by using reiforcement learning's vanilla policy gradient (REINFORCE) algorithm.
User: directorman9
Home Page: https://colab.research.google.com/drive/1IZDCeNaEgMbBqSBojgrTlR0NvyXgfqHF?usp=sharing
minigrid,Accelerated minigrid environments with JAX
User: epignatelli
minigrid,📏 Minimal 2kb zero dependency cascading grid layout
User: hnqlv
Home Page: http://minigrid.js.org/
minigrid,An environement builder for hierarchical reasoning research
Organization: irll
minigrid,RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
User: lcswillems
minigrid,Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
User: lcswillems
minigrid,OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
Organization: opendilab
Home Page: https://di-engine-docs.readthedocs.io
minigrid,Learning Visual Embeddings for Reinforcement Learning
User: ranamihir
minigrid,Implementation of Offline Reinforcement Learning in Gym Mini-Grid Environment :key:
User: resuldagdanov
minigrid,Python code to implement LLM4Teach, a policy distillation approach for teaching reinforcement learning agents with Large Language Model
Organization: zjlab-ammi
Home Page: https://arxiv.org/abs/2311.13373
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