Psychology Today

Why Negative Reinforcement Isn’t a Bad Thing

Negative reinforcement has a bad reputation. Here’s what it really means, and why it can be surprisingly helpful.
GitHub

[ICRA 2026] KINESIS: Reinforcement Learning-Based Motion Imitation for Physiologically Plausible Musculoskeletal Motor Control

KINESIS is a model-free imitation-learning framework that facilitates the development of effective and scalable muscle-based control policies of locomotion. KINESIS is trained on 1.8 hours of ...
IEEE

Audio-Driven Reinforcement Learning for Head-Orientation in Naturalistic Environments

Abstract: Although deep reinforcement learning (DRL) approaches in audio signal processing have seen substantial progress in recent years, fully audio-driven DRL for tasks such as navigation, gaze ...

AI captures particle accelerator behavior to optimize machine performance

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

MIT's new fine-tuning method lets LLMs learn new skills without losing old ones

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.
IEEE

Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects

Abstract: Connected and automated vehicles (CAVs) have emerged as a potential solution to the future challenges of developing safe, efficient, and eco-friendly transportation systems. However, CAV ...