New model frames human reinforcement learning in the context of memory and habits

Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...
IEEE

GraFeyn: Efficient Parallel Sparse Simulation of Quantum Circuits

Abstract: Many circuit simulators use either a Schrodinger-based or Feynman-based approach, which have complementary strengths. Schrödinger-based simulators maintain a state vector by synchronously ...
GitHub

VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving

🔥 To the best of our knowledge, VLM-RL is the first work in the autonomous driving field to unify VLMs with RL for end-to-end driving policy learning in the CARLA simulator. 🏁 VLM-RL outperforms ...