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.

Paglet Web Series Cast

The cynical best friend. Every heroine needs a sidekick who tells the truth. Tanya is brutally honest, fashion-forward, and the only one who can make Riya laugh when she’s down.

The "Paglet" web series cast is a dynamic mix of talented actors who have brought the franchise's dramatic and bold narratives to life across multiple platforms and seasons. From Jayshree Gaikwad and Rajni Mehta to Ambika Shukla and Namika, each performer has contributed to the series' unique identity in the Indian digital landscape.

(Sunaina) : Joining in later seasons/episodes, Jha fits right into the established ecosystem. She possesses a comfortable on-camera presence, ensuring that her scenes do not feel awkward despite the hollow writing. Jayshree Gaikwad

The web series has become a popular title in the Indian digital space, known for its bold storytelling and dramatic twists. While the name is often confused with the mainstream Netflix film Pagglait (starring Sanya Malhotra), the Paglet series is a distinct adult drama franchise primarily hosted on platforms like PrimePlay and Kooku .

(Plays Tinku ): Plays a mischievous relative whose sudden interruptions drive the comedic elements of the plot.

The official cast of the includes prominent OTT actors such as Sonia Singh Rajput, Rajni Mehta, Shyna Khatri, and Bharti Jha , who feature across its different seasonal installments. Released across digital platforms like Prime Play and Prime Flix, this drama-comedy centers on complicated familial relationships, love, and misunderstandings.

Paglet is a popular drama series that explores complex interpersonal dynamics and family secrets.

Providing a strong supporting performance as the patriarchal Chacha.

"Paglet" Episode #3.5 (TV Episode 2023) - Full cast & crew - IMDb

as Mami: Appears in early episodes to add layers of domestic drama and comedic tension.

Bharti Jha plays a pivotal lead role in the third installment of the series. Portraying Sunaina, her performance brings a fresh narrative arc to the show, shifting the focus toward rural relationships and internal family politics alongside co-stars Tarakesh Chauhan and Farhaan Ansari. 4. Nitin Bhatia (Aashu)

As Raj's life begins to unravel, he's forced to confront the choices he's made and the person he's become. Will he find a way to reignite his passion for life and connect with the people around him, or will he continue to drift through existence, feeling lost and unfulfilled?