Natural language-conditioned reinforcement learning (RL) enables agents to follow human instructions. Previous approaches generally implemented languageconditioned RL by providing the policy with human instructions in natural language (NL) and training the policy to follow instructions. In this is outside-in approach, the policy must comprehend the NL and manage the task simultaneously. However, the unbounded NL examples often bring much extra complexity for solving concrete RL tasks, which can distract policy learning from completing the task. To ease the learning burden of the policy, we investigate an inside-out scheme for natural language-conditioned RL by developing a task language (TL) that is task-related and easily understood by the policy, thus reducing the policy learning burden. Besides, we employ a translator to translate natural language into the TL, which is used in RL to achieve efficient policy training. We implement this scheme as TALAR (TAsk Language with predicAte Representation) that learns multiple predicates to model object relationships as the TL. Experiments indicate that TALAR not only better comprehends NL instructions but also leads to a better instruction-following policy that significantly improves the success rate over baselines and adapts to unseen expressions of NL instruction. Besides, the TL is also an effective sub-task abstraction compatible with hierarchical RL.

Natural language-conditioned reinforcement learning (RL) enables agents to follow human instructions.

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Long-horizon embodied planning is challenging because the world does not only change through an agent's actions: exogenous processes (e.g., water heating, dominoes cascading) unfold concurrently with the agent's actions. We propose a framework for abstract world models that jointly learns (i) symbolic state representations and (ii) causal processes for both endogenous actions and exogenous mechanisms. Each causal process models the time course of a stochastic cause-effect relation. We learn these world models from limited data via variational Bayesian inference combined with LLM proposals. Across five simulated tabletop robotics environments, the learned models enable fast planning that generalizes to held-out tasks with more objects and more complex goals, outperforming a range of baselines.

Breakthroughs, discoveries, and DIY tips sent every weekday. A few years ago I upgraded from gas to induction. This sentence might confuse you. Gas stoves have a reputation as being the best, mostly because of marketing, so you might think I'm only saying I "upgraded" to induction because of environmental conviction. And I'll admit using less energy motivated the switch (I like saving money) but efficiency alone is not why I'm saying that induction is better.

At the 1933 World's Fair in Chicago, an exhibit called The Home of Tomorrow laid out a vision of a futuristic living space. It included outlandish predictions including personal helicopter pads, but it also foreshadowed central air conditioning, automatic dishwashers, and other innovations that have become integral parts of modern life. As we envision the home of the future, it's easy to get caught up in sci-fi-inspired predictions of fully autonomous homes serviced by robotic butlers and disembodied virtual assistants that remove the humanity from our living spaces. Here at Popular Science, we reject that vision. For the inaugural Home of the Future Awards, we have selected 25 products that augment life at home by making it more efficient, affordable, accessible, and--ultimately--more enjoyable. We test, preview, and evaluate hundreds of products per year and these products deserve a chance to cohabitate with you and the people who matter to you. A flat top grill is one of the most versatile ways to cook just about anything from pancakes to burgers, but temperature control is key.

The understanding of the functional aspects of objects and tools is of paramount importance in supporting an intelligent system in navigating around in the environment and interacting with various objects, structures, and systems, to help fulfil its goals. A detailed understanding of functionalities can also lead to design improvements and novel designs that would enhance the operations of AI and robotic systems on the one hand, and human lives on the other. This paper demonstrates how a particular object - in this case, a frying pan - and its participation in the processes it is designed to support - in this case, the frying process - can be represented in a general function representational language and framework, that can be used to flesh out the processes and functionalities involved, leading to a deep conceptual understanding with explainability of functionalities that allows the system to answer "why" questions - why is something a good frying pan, say, or why a certain part on the frying pan is designed in a certain way? Or, why is something not a good frying pan? This supports the re-design and improvement on design of objects, artifacts, and tools, as well as the potential for generating novel designs that are functionally accurate, usable, and satisfactory.

'Hostbot' is a text message bot from Burner that has been introduced to save Airbnb hosts the trouble of answering frequently asked questions over and over again. When an Airbnb guest arrives in a new city or country, they are bound to have tons of questions like: "What's the Wi-Fi password?" Hostbot makes it possible for an Airbnb host to fill in some of the questions that they are asked often and link the chatbot to their Burner phone number. This way, when a guest has a question, the bot auto-responds with the appropriate answer. This way, a host is able to focus on parts of the hosting experience that a bot can't assist with.

The old saying of, "There's an app for that," often rings true, especially for millennials. While there may be an app for everything you're trying to do, the real question is which ones will make you most productive in crushing your New Year goals? Thankfully there are a few tools that will propel your business and personal life to another level of productivity. I've compiled some of the best tools or apps to save you time and manage your work more effectively, along with input on how they work. "Evernote acts as a digital workspace, organizing all your content across all your devices," said Joshua Zerkel, Director of Global Community at Evernote.

Burner numbers might seem like a plot device best left to the writers on cheesy cop shows, but a fast-growing startup--aptly named Burner--is proving there are everyday use cases for a secondary set of digits that you can access through your existing phone via app. Online Dating: In an era when people might swipe right and swap numbers before they meet, having a secondary number can offer daters a sense of control and privacy. "We say if you give your number to someone on Tinder, they shouldn't be able to figure out who you are," says Burner CEO Greg Cohn. On Tuesday, the company announced a new feature for these users: a text bot that will ghost unwanted wooers through their burner line. Craigslisting: Phone numbers, relative to the phones they're associated with, are pretty dumb, Cohn says.