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Playing Werewolf game through Reinforcement Learning (RL) Agents
We propose a new framework powered by RL to develop strategic language agents, LLM-based agents for Werewolf.
Tencent's AppAgent: A multimodal intelligent agent that automatically interacts with applications
AppAgent: Multimodal Agents as Smartphone Users, an LLM-based multimodal agent framework designed to operate mobile apps
AI Agent Application Market Map
Autonomous agents have long been a prominent research focus in both academic and industry communities
ReByte - A low-code platform connecting LLMs
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Voyager: Embodied agent in Minecraft
Today I read a paper about NVIDIA's Voyager, which was developed by NVIDIA's MineDojo team. It utilizes large language models (LLM
Writing Agents with Langchain to simulate multiplayer Dungeons & Dragons
This notebook shows how to use the DialogueAgent and DialogueSimulator classes to play multi-player Dungeons & Dragons.
Use Eden AI tools in Langchain Agent
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Playing Werewolf with LLM Agents (Continued)
We observed that LLMs exhibit some strategic behaviors not explicitly preprogrammed in the game rules or prompts.