AZoRobotics on MSN

Reinforcement Learning for Stable Bipedal Robot Locomotion

The integrated AI approach for bipedal locomotion combines physics-driven planning and reinforcement learning, achieving ...
NatureOpinion

‘It keeps me awake at night’: machine-learning pioneer on AI’s threat to humanity

Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.

Inside the Quant World: From Interview Prep to Building Real Strategies

Breaking into quantitative finance requires a solid mix of technical knowledge and analytical skills. Aspiring quants face ...
Deep Learning with Yacine on MSN

Group Relative Policy Optimization (GRPO) Explained – Formula and PyTorch Implementation

Discover how Group Relative Policy Optimization (GRPO) works with a clear breakdown of the core formula and working Python ...
GitHub

meta-reinforcement-learning

Unified meta-reinforcement learning benchmark for fast adaptation with State Space Models (SSM), test-time improvement, and modular policy orchestration. Includes automated training, evaluation, ...
IEEE

Spiking Variational Policy Gradient for Brain Inspired Reinforcement Learning

Abstract: Recent studies in reinforcement learning have explored brain-inspired function approximators and learning algorithms to simulate brain intelligence and adapt to neuromorphic hardware. Among ...
IEEE

Constrained Visual Representation Learning With Bisimulation Metrics for Safe Reinforcement Learning

Abstract: Safe reinforcement learning aims to ensure the optimal performance while minimizing potential risks. In real-world applications, especially in scenarios that rely on visual inputs, a key ...