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Exploring large language model based intelligent agents: Definitions, methods, and prospects
Intelligent agents stand out as a potential path toward artificial general intelligence (AGI).
Thus, researchers have dedicated significant effort to diverse implementations for them …
Thus, researchers have dedicated significant effort to diverse implementations for them …
A survey on LLM-based multi-agent systems: workflow, infrastructure, and challenges
The pursuit of more intelligent and credible autonomous systems, akin to human society, has
been a long-standing endeavor for humans. Leveraging the exceptional reasoning and …
been a long-standing endeavor for humans. Leveraging the exceptional reasoning and …
Alfworld: Aligning text and embodied environments for interactive learning
Given a simple request like Put a washed apple in the kitchen fridge, humans can reason in
purely abstract terms by imagining action sequences and scoring their likelihood of success …
purely abstract terms by imagining action sequences and scoring their likelihood of success …
A gentle introduction to reinforcement learning and its application in different fields
Due to the recent progress in Deep Neural Networks, Reinforcement Learning (RL) has
become one of the most important and useful technology. It is a learning method where a …
become one of the most important and useful technology. It is a learning method where a …
A survey of reinforcement learning informed by natural language
To be successful in real-world tasks, Reinforcement Learning (RL) needs to exploit the
compositional, relational, and hierarchical structure of the world, and learn to transfer it to the …
compositional, relational, and hierarchical structure of the world, and learn to transfer it to the …
Skill induction and planning with latent language
We present a framework for learning hierarchical policies from demonstrations, using sparse
natural language annotations to guide the discovery of reusable skills for autonomous …
natural language annotations to guide the discovery of reusable skills for autonomous …
Thought cloning: Learning to think while acting by imitating human thinking
Abstract Language is often considered a key aspect of human thinking, providing us with
exceptional abilities to generalize, explore, plan, replan, and adapt to new situations …
exceptional abilities to generalize, explore, plan, replan, and adapt to new situations …
Imitating interactive intelligence
A common vision from science fiction is that robots will one day inhabit our physical spaces,
sense the world as we do, assist our physical labours, and communicate with us through …
sense the world as we do, assist our physical labours, and communicate with us through …
Mmkgr: Multi-hop multi-modal knowledge graph reasoning
Multi-modal knowledge graphs (MKGs) include not only the relation triplets, but also related
multi-modal auxiliary data (ie, texts and images), which enhance the diversity of knowledge …
multi-modal auxiliary data (ie, texts and images), which enhance the diversity of knowledge …
Executing instructions in situated collaborative interactions
We study a collaborative scenario where a user not only instructs a system to complete
tasks, but also acts alongside it. This allows the user to adapt to the system abilities by …
tasks, but also acts alongside it. This allows the user to adapt to the system abilities by …