# AAA

Published articles for AAA.

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## Coachable Agents for Interactive Gameplay

DevFeed: [Coachable Agents for Interactive Gameplay](<https://devfeed.tech/articles/coachable-agents-for-interactive-gameplay-123186.md>)

Original publisher: [Read original article](<https://arxiv.org/abs/2607.00642>)

Author: Roberto Capobianco (Sony Europe Ltd), Harm van Seijen (Sony Corporate Technology Center America, Inc), Nolan D. Bard (Sony Corporate Technology Center America, Inc), Neil Burch (Work done while at Son

Published: 2026-11-09T05:00:00Z

Content type: article

Language: en

Sources: [arXiv: Machine Learning](<https://devfeed.tech/sources/arxiv-machine-learning.md>)

Topics: [Reinforcement learning](<https://devfeed.tech/topics/reinforcement-learning.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Humanoid Robots](<https://devfeed.tech/topics/humanoid-robots.md>)

Tags: [2016](<https://devfeed.tech/tags/2016.md>), [2017](<https://devfeed.tech/tags/2017.md>), [2020](<https://devfeed.tech/tags/2020.md>), [2022](<https://devfeed.tech/tags/2022.md>), [2025](<https://devfeed.tech/tags/2025.md>), [2026](<https://devfeed.tech/tags/2026.md>), [aaa](<https://devfeed.tech/tags/aaa.md>), [abstract](<https://devfeed.tech/tags/abstract.md>), [advanced](<https://devfeed.tech/tags/advanced.md>), [agent](<https://devfeed.tech/tags/agent.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-systems](<https://devfeed.tech/tags/ai-systems.md>), [algorithms](<https://devfeed.tech/tags/algorithms.md>), [application](<https://devfeed.tech/tags/application.md>), [arxiv](<https://devfeed.tech/tags/arxiv.md>), [behavior](<https://devfeed.tech/tags/behavior.md>), [car](<https://devfeed.tech/tags/car.md>), [cs-ai](<https://devfeed.tech/tags/cs-ai.md>), [cs-lg](<https://devfeed.tech/tags/cs-lg.md>), [gameplay](<https://devfeed.tech/tags/gameplay.md>), [interactive](<https://devfeed.tech/tags/interactive.md>)

### AI overview

The paper presents a reinforcement-learning framework for agents whose behavior can be steered after training. It combines universal value function approximators with selected training scenarios, learning algorithms, and data augmentation to support user-requested styles while preserving each domain's main task. The authors report demonstrations in Horizon Forbidden West combat, Gran Turismo racing, and an open-source humanoid walking domain, with agents showing strong coherence to style requests. Users can select the desired behavior at runtime. The supplied text is an abstract and does not provide implementation details or quantitative results.

### Source excerpt

arXiv:2607.00642v3 Announce Type: replace-cross Abstract: Reinforcement learning has proven to be a valuable tool in the creation of advanced AI and robotic systems, contributing to everything from game playing (Silver et al., 2016; 2017; Wurman et al., 2022) to robotics (Levine et al., 2016; Andrychowicz et al., 2020; Luo et al., 2025; D\"urr et al., 2026) to foundation models (Ouyang et al., 2022; Noukhovitch et al., 2024; Sun et al., 2024; Guo et al., 2025). Through trial and error, these AI systems typically learn a single, near-optimal behavior to solve their tasks. However, there are many use cases in which one would like to assert some level of control, after training is completed, over how the task is solved. We refer to these modifications of a core task as styles. We combine universal value function approximators (UVFAs) with carefully selected training scenarios, learning algorithms, and data augmentation to create a framework for coaching agents that exhibit styles in complex domains. We demonstrate the framework's application in the AAA video games Horizon Forbidden West and Gran Turismo, and in an open-source humanoid test domain. Despite the different nature of the domains--car racing, stylized game combat, and humanoid walking--each agent shows strong coherence to the style requests while still satisfying the main task in its domain. Importantly, the techniques outlined in this paper allow an end user to choose the final behavior at run time, giving them flexible control over the final executed performance.

## Making an electronic busy board

DevFeed: [Making an electronic busy board](<https://devfeed.tech/articles/making-an-electronic-busy-board-112626.md>)

Original publisher: [Read original article](<https://blog.adafruit.com/2026/11/02/making-an-electronic-busy-board/>)

Author: Anne Barela

Published: 2026-11-02T20:19:18Z

Content type: article

Language: en

Sources: [Adafruit Industries](<https://devfeed.tech/sources/adafruit-industries-makers-hackers-artists-designers-and-engineers.md>)

Topics: [circuit](<https://devfeed.tech/topics/circuit.md>)

Tags: [7-segment](<https://devfeed.tech/tags/7-segment.md>), [aaa](<https://devfeed.tech/tags/aaa.md>), [busy-board](<https://devfeed.tech/tags/busy-board.md>), [buttons](<https://devfeed.tech/tags/buttons.md>), [code](<https://devfeed.tech/tags/code.md>), [components-parts](<https://devfeed.tech/tags/components-parts.md>), [display](<https://devfeed.tech/tags/display.md>), [displays](<https://devfeed.tech/tags/displays.md>), [driver](<https://devfeed.tech/tags/driver.md>), [electronic](<https://devfeed.tech/tags/electronic.md>), [electronics](<https://devfeed.tech/tags/electronics.md>), [firmware](<https://devfeed.tech/tags/firmware.md>), [gpio](<https://devfeed.tech/tags/gpio.md>), [graphs](<https://devfeed.tech/tags/graphs.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [led](<https://devfeed.tech/tags/led.md>), [low-power](<https://devfeed.tech/tags/low-power.md>), [microcontroller](<https://devfeed.tech/tags/microcontroller.md>), [pcb](<https://devfeed.tech/tags/pcb.md>), [pic](<https://devfeed.tech/tags/pic.md>), [projects](<https://devfeed.tech/tags/projects.md>), [toy](<https://devfeed.tech/tags/toy.md>)

### AI overview

The busy board uses a PIC18F67K40 and custom firmware to drive its displays and controls without dedicated driver chips. Its multiplexed LED and four-digit display are refreshed by six hardware timers; button presses use low-priority interrupts, allowing the timers to keep running during a 50 ms debounce delay. The 60-GPIO microcontroller uses every pin, and the board runs directly from three AAA cells without a voltage regulator. After 10 minutes without activity, it enters a low-power state drawing 374 nA.

### Source excerpt

andyc built an electronic toy for his nephew and wrote up the design at burningimage.net. It's called an electronic busy board. It has multi-colored LED bar graphs, a four-digit 7-segment display, push buttons, and a rotary encoder. The displays are multiplexed, so the firmware cycles through the digits faster than the eye can follow. Dedicated [...]

## Gears of War: E-Day's half-billion-dollar budget was no rumor

DevFeed: [Gears of War: E-Day's half-billion-dollar budget was no rumor](<https://devfeed.tech/articles/gears-of-war-e-day-s-half-billion-dollar-budget-was-no-rumor-112399.md>)

Original publisher: [Read original article](<https://www.techspot.com/news/114407-gears-war-e-day-half-billion-dollar-budget.html>)

Author: Zo Ahmed

Published: 2026-11-02T13:34:00Z

Content type: news

Language: en

Sources: [TechSpot](<https://devfeed.tech/sources/techspot.md>)

Topics: [Game Development](<https://devfeed.tech/topics/game-development.md>), [Xbox](<https://devfeed.tech/topics/xbox.md>)

Tags: [aaa](<https://devfeed.tech/tags/aaa.md>), [bioware](<https://devfeed.tech/tags/bioware.md>), [bloomberg](<https://devfeed.tech/tags/bloomberg.md>), [budget](<https://devfeed.tech/tags/budget.md>), [coalition](<https://devfeed.tech/tags/coalition.md>), [cost](<https://devfeed.tech/tags/cost.md>), [ea](<https://devfeed.tech/tags/ea.md>), [game-pass](<https://devfeed.tech/tags/game-pass.md>), [gaming](<https://devfeed.tech/tags/gaming.md>), [gears-of-war](<https://devfeed.tech/tags/gears-of-war.md>), [gears-of-war-e-day](<https://devfeed.tech/tags/gears-of-war-e-day.md>), [layoffs](<https://devfeed.tech/tags/layoffs.md>), [microsoft](<https://devfeed.tech/tags/microsoft.md>), [xbox](<https://devfeed.tech/tags/xbox.md>), [xbox-game-studios](<https://devfeed.tech/tags/xbox-game-studios.md>)

### AI overview

Bloomberg's Jason Schreier said Gears of War: E-Day's reported $500 million development cost is real, though another interpretation is that the figure covers broader Coalition work and excludes some uncertainty about allocation. Early sales estimates were 230,000 copies in the first week and over 400,000 across Xbox and Steam after about three weeks; Alinea estimated 1.7 million Game Pass players, including roughly 722,000 early-access upgrades that helped bring early revenue to about $37 million. At $70 per copy, more than 7 million sales would be needed to match the reported development cost. The excerpt links rising budgets and slower sales growth to publishers concentrating on major franchises and moving work outside North America. Xbox kept E-Day off PS5 and launched it on Game Pass; a hypothetical PS5 release performing like Gears of War: Reloaded was estimated to add only about $33 million.

### Source excerpt

Bloomberg's Jason Schreier brought up the figure in a video explaining why EA chose to shut BioWare. Gears of War: E-Day cost Xbox $500 million, he said. "That is a real number, that is real," he added. In Schreier's view, that's simply what AAA games cost to make now, especially... Read Entire Article

## Regal debuts Goal Oriented Agents, putting an actor and a director model on every call

DevFeed: [Regal debuts Goal Oriented Agents, putting an actor and a director model on every call](<https://devfeed.tech/articles/regal-debuts-goal-oriented-agents-putting-an-actor-and-a-director-model-on-every-call-102196.md>)

Original publisher: [Read original article](<https://siliconangle.com/2026/10/27/regal-debuts-goal-oriented-agents-putting-an-actor-and-a-director-model-on-every-call/>)

Author: Duncan Riley

Published: 2026-10-27T14:00:40Z

Content type: news

Language: en

Sources: [SiliconANGLE](<https://devfeed.tech/sources/siliconangle.md>)

Topics: [AI for customer service automation](<https://devfeed.tech/topics/ai-for-customer-service-automation.md>), [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>)

Tags: [aaa](<https://devfeed.tech/tags/aaa.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [contact-centers](<https://devfeed.tech/tags/contact-centers.md>), [conversational-ai](<https://devfeed.tech/tags/conversational-ai.md>), [customer-service](<https://devfeed.tech/tags/customer-service.md>), [five9](<https://devfeed.tech/tags/five9.md>), [goal-oriented-agents](<https://devfeed.tech/tags/goal-oriented-agents.md>), [google](<https://devfeed.tech/tags/google.md>), [model](<https://devfeed.tech/tags/model.md>), [news](<https://devfeed.tech/tags/news.md>), [regal](<https://devfeed.tech/tags/regal.md>), [regal-voice](<https://devfeed.tech/tags/regal-voice.md>), [the-latest](<https://devfeed.tech/tags/the-latest.md>), [toyota](<https://devfeed.tech/tags/toyota.md>), [toyota-motor](<https://devfeed.tech/tags/toyota-motor.md>), [voice-ai](<https://devfeed.tech/tags/voice-ai.md>)

### AI overview

Regal's Goal Oriented Agents pair a fast dialogue model ("actor") with a "director" that checks call goals after each turn and updates the actor's instructions as the call moves between stages. Businesses define goal nodes with outcomes and prerequisites, such as collecting a date of birth before taking action. Because the director can mark several goals complete from one answer, Regal says the agent can avoid asking again for information already provided while keeping the call aligned with the process. The article presents complex intake and qualification as strong use cases, including insurance claims, Medicare enrollment, roadside assistance, mortgage qualification and HIPAA-compliant medical intake.

### Source excerpt

Enterprise voice artificial intelligence company Regal Voice Inc. today added Goal Oriented Agents to its platform, enabling businesses using them to define what a call has to accomplish, and providing two AI models that split the work of getting there. The new agents are aimed at a problem Regal says shows up in calls such [...] The post Regal debuts Goal Oriented Agents, putting an actor and a director model on every call appeared first on SiliconANGLE.