Their short reach also forces Steve to engage in close-quarters combat as he lacks a conventional projectile, where he can easily be outclassed by characters with either ranged or disjointed attacks. His up smash and down tilt leave him vulnerable to punish should he miss, and while Steve's tool attacks are fast, they have short reach, making them not as effective as a combo disruptor against other characters. He can be denied usage of his crafting table (and his toolset) if he is kept airborne and off-stage, while respawning it forces Steve to use up potentially valuable resources. Steve's tools will eventually break with extended use, leaving him with an ineffective punch attack unless he uses a crafting table to replenish his tools. Furthermore, his Minecraft-inspired playstyle forces him to constantly mine for materials throughout the match running out of materials denies him access to certain moves such as Minecart and TNT. His lackluster aerial and ground mobility hamper his approaching options, and his crouch and crawl are ineffective against projectile attacks. However, Steve is not without weaknesses. Nearly every move in Steve's arsenal can be used for multiple purposes, such as his down tilt, which can ledgetrap opponents, block projectiles and set up combos. Elytra's gliding mechanics allow Steve to mix up his recovery and can provide him great vertical coverage if angled right. Minecart is not only a useful horizontal recovery tool, but also a projectile command grab, a powerful KO option, and a tool Steve can use to approach opponents. His back aerial and smash attacks yield incredible kill power, as do his down aerial and TNT, which are notable components in Steve's trapping game. His damage potential can be further increased by upgrading his toolset with the materials he mines diamond tools are viewed as a high threat because of it. These blocks also allow him to greatly extend his combos with incredibly fast attacks such as his moving jab attack and axe ladders among others, allowing him to command one of the best advantage states in the game and rack up massive amounts of damage. Steve's ability to create platforms and walls of his own with Mine / Craft / Create Block gifts him with an extremely potent defensive prowess that also grants him great stage control, recovery aid and gimp potential while also allowing him access to a myriad of unique advanced techniques. Steve is ranked 1st out of 82 on the current tier list, placing him at the very top in the S+ tier. Steve was released as part of Challenger Pack 7 on October 13th, 2020 and is classified as Fighter #77. Alex ( アレックス, Alex), a Zombie ( ゾンビ, Zombie), and an Enderman ( エンダーマン, Enderman) also appear as alternate costumes. He was confirmed as a playable character on October 1st, 2020 as the second downloadable character from Fighters Pass Vol. Ultimate, the second fighter from Microsoft after Banjo & Kazooie, and the eighth DLC character for Ultimate. All resources, including our model weights, training scripts, and evaluation tools are made available for further research.Steve ( スティーブ, Steve) is a playable character in Super Smash Bros. We provide experimental evidence highlighting key factors for downstream performance, including pretraining, classifier-free guidance, and data scaling. STEVE-1 sets a new bar for open-ended instruction following in Minecraft with low-level controls (mouse and keyboard) and raw pixel inputs, far outperforming previous baselines. By leveraging pretrained models like VPT and MineCLIP and employing best practices from text-conditioned image generation, STEVE-1 costs just $60 to train and can follow a wide range of short-horizon open-ended text and visual instructions in Minecraft. This allows us to finetune VPT through self-supervised behavioral cloning and hindsight relabeling, bypassing the need for costly human text annotations. STEVE-1 is trained in two steps: adapting the pretrained VPT model to follow commands in MineCLIP's latent space, then training a prior to predict latent codes from text. This work introduces an instruction-tuned Video Pretraining (VPT) model for Minecraft called STEVE-1, demonstrating that the unCLIP approach, utilized in DALL-E 2, is also effective for creating instruction-following sequential decision-making agents. Download a PDF of the paper titled STEVE-1: A Generative Model for Text-to-Behavior in Minecraft, by Shalev Lifshitz and 4 other authors Download PDF Abstract:Constructing AI models that respond to text instructions is challenging, especially for sequential decision-making tasks.
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