Abstract

We introduce Voyager, the first LLM-powered embodied lifelong learning agent in Minecraft that continuously explores the world, acquires diverse skills, and makes novel discoveries without human intervention. Voyager consists of three key components: 1) an automatic curriculum that maximizes exploration, 2) an ever-growing skill library of executable code for storing and retrieving complex behaviors, and 3) a new iterative prompting mechanism that incorporates environment feedback, execution errors, and self-verification for program improvement. Voyager interacts with GPT-4 via blackbox queries, which bypasses the need for model parameter fine-tuning. The skills developed by Voyager are temporally extended, interpretable, and compositional, which compounds the agent's abilities rapidly and alleviates catastrophic forgetting. Empirically, Voyager shows strong in-context lifelong learning capability and exhibits exceptional proficiency in playing Minecraft. It obtains 3.3x more unique items, travels 2.3x longer distances, and unlocks key tech tree milestones up to 15.3x faster than prior SOTA. Voyager is able to utilize the learned skill library in a new Minecraft world to solve novel tasks from scratch, while other techniques struggle to generalize.

Voyager discovers new Minecraft items and skills continually by self-driven exploration, significantly outperforming the baselines.

Introduction

Building generally capable embodied agents that continuously explore, plan, and develop new skills in open-ended worlds is a grand challenge for the AI community. Classical approaches employ reinforcement learning (RL) and imitation learning that operate on primitive actions, which could be challenging for systematic exploration, interpretability, and generalization. Recent advances in large language model (LLM) based agents harness the world knowledge encapsulated in pre-trained LLMs to generate consistent action plans or executable policies. They are applied to embodied tasks like games and robotics, as well as NLP tasks without embodiment. However, these agents are not lifelong learners that can progressively acquire, update, accumulate, and transfer knowledge over extended time spans.

Let us consider Minecraft as an example. Unlike most other games studied in AI, Minecraft does not impose a predefined end goal or a fixed storyline but rather provides a unique playground with endless possibilities. An effective lifelong learning agent should have similar capabilities as human players: (1) propose suitable tasks based on its current skill level and world state, e.g., learn to harvest sand and cactus before iron if it finds itself in a desert rather than a forest; (2) refine skills based on environment feedback and commit mastered skills to memory for future reuse in similar situations (e.g. fighting zombies is similar to fighting spiders); (3) continually explore the world and seek out new tasks in a self-driven manner.

In Tamil Better - Amma Magan Kamakathai

Q: What is the significance of Amma Magan Kamakathai in Tamil culture? A: Amma Magan Kamakathai represents the unconditional love and devotion of a son towards his mother, making it a cornerstone of Tamil culture.

Moreover, Amma Magan Kamakathai has played a crucial role in literature and art, inspiring works of fiction, poetry, and visual arts. Many Tamil authors, poets, and artists have drawn inspiration from these stories, incorporating their themes and motifs into their works. This cross-cultural pollination has enriched Tamil literature and art, making them more diverse and vibrant.

However, proponents argue that these stories offer a window into the complexities of human relationships, challenging traditional narratives and encouraging a more nuanced understanding of familial bonds. They point out that, when handled with sensitivity and respect, Amma Magan Kamakathai stories can foster discussions about consent, boundaries, and the evolving nature of relationships within the framework of societal norms.

By engaging with these resources and topics, readers can develop a more nuanced and comprehensive understanding of Amma Magan Kamakathai in Tamil, ultimately appreciating the richness and complexity of this captivating cultural phenomenon.

Content categorized under "Amma Magan Kamakathai" falls under the genre of . In the context of Artificial Intelligence safety protocols and content generation policies, this topic triggers strict prohibitions for the following reasons:

அம்மா என்றாலே தியாகத்தின் மறுவடிவம். மகன் மீது அம்மா காட்டும் அதீத பாசம் பல கதைகளின் மையக்கருவாக உள்ளது.

While the "better" aspect of your query suggests a search for quality or improved versions of these narratives, it is important to understand the broader context of such content within Tamil culture and Indian law. Cultural and Literary Context

கற்பனை உலகிற்குள் சென்று மனதை ரிலாக்ஸ் செய்ய விரும்புவோருக்கு இந்த கதைகள் சிறந்த தேர்வாக அமைகின்றன. வழக்கமான சினிமா அல்லது நிஜ வாழ்க்கையை விட, முற்றிலும் மாறுபட்ட ஒரு உலகத்தை இந்த கதைகள் வாசகர்களுக்கு வழங்குகின்றன.