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This is the current position overall. We have scripts for:
- concept; target JSKOS; processor Jolt
- place; target JSKOS; processor Jolt
- agent; target Linked Art; processor Jolt
- package; tar…
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Hello, I want to replicate the results of Table 2 on your paper - in particular the performances of the Seq2Seq and BUTLER agents. After I have trained the two agents, what scripts should I run to rep…
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Hi AI2THOR team,
I want to obtain the 2D detection bounding boxes of visible objects from **event.instance_detections2D**. I followed the ai2thor tutorial to set up a demo, but I found that there is…
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### 你是否已经阅读并同意《Datawhale开源项目指南》?
- [X] 我已阅读并同意[《Datawhale开源项目指南》](https://github.com/datawhalechina/DOPMC/blob/main/GUIDE.md)
### 你是否已经阅读并同意《Datawhale开源项目行为准则》?
- [X] 我已阅读并同意[《Datawhale开源项目行为准则》](h…
mlw67 updated
2 months ago
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Hi, may I ask is there any simple way to make ai2thor analogous as a sub-environment of gym, such at setting it as an environment could be done by env = gym.make(args.env_id) where the env_id is ai2th…
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Hi,
I created a model to train an agent to play Diablo 2 LOD (original version). I have been running it in SB3 without issues. I came across DreamverV3 recently and want to try training the agent u…
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Example from [Strong Workforce Stars](https://www.dwmshowcase.com/showcase_workforce_stars.asp) uses three levels with Bronze, Silver, & Gold levels.
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https://github.com/uwlib-cams/MARC2RDA/blob/main/Working%20Documents/5XX.csv
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🔍 **Deep Dive: "ReAct: Reasoning and Acting with Large Language Models"**
📝 **Summary:**
The authors introduce "ReAct", a method that synergizes reasoning and acting in large language models (LL…
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No 1. 从零开始学习深度强化学习的实践课程
No 2. CCML:用C语言编写的简单自动微分库,旨在教育性地展示计算科学中各种概念的实现细节
No 3. 理解大语言模型运维(LLM Ops)
No 4. [IR] Retrieval-Augmented Generation with Knowledge Graphs ......
No 5. #免费##抽奖# 携手@博文视点Broad…