The Importance Of Evaluation In The Reinforcement Learning Revolution

We celebrate RL breakthroughs, but behind the hype lies a brittle foundation: evaluation. Without it, progress risks being ...
IEEE

Bipartite Consensus Tracking via Reinforcement-Learning-Based Time-Synchronized Control

Abstract: This brief proposes an optimized time-synchronized control method based on reinforcement learning for the bipartite consensus tracking problem. The study considers multiagent system ...
NextBigFuture

AI Legend Sutton Wrote the Bitter Lesson- Gives His Suggestions for True Continual Learning

Sutton believes Reinforcement Learning is the Path to to Intelligence via Experience. Sutton defines intelligence as the computational part of the ability to achieve goals. It is rooted in a stream of ...
IEEE

Optimization of Reinforcement Learning Using Quantum Computation

Abstract: Exploring the convergence of quantum computing and machine learning, this paper delves into Quantum Reinforcement Learning (QRL) with a specific focus on Variational Quantum Circuits (VQC).
GitHub

reinforcement-learning-papers

The proceedings of top conference in 2021 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more. The proceedings of top conference in 2018 on ...