Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025)

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
IEEE

Toward Deep Semi-Supervised Continual Learning: A Unified Survey for Scalable and Adaptive AI

Abstract: The integration of Deep Semi-Supervised Learning (DSSL) with Continual Learning (CL) holds significant promise for advancing artificial intelligence systems capable of learning from limited ...
IEEE

Toward Energy-Efficient Spike-Based Deep Reinforcement Learning With Temporal Coding

Abstract: Deep reinforcement learning (DRL) facilitates efficient interaction with complex environments by enabling continuous optimization strategies and providing agents with autonomous learning ...