How to use ML-Agents (Unity's toolkit for reinforcement learning) to train the RL agents? And I also learned to implement the PPO algorithm using the Keras library. 😃 What's next? 🤔 So I have ...

This paper presents a novel neuromorphic architecture for solving RL ... A tabular actor-critic algorithm with eligibility traces and a state-of-the-art Proximal Policy Optimization (PPO) algorithm ...

We propose a proximal policy optimization with graph transformer (GT-PPO) algorithm, which leverages proximal policy ... long-range dependencies—we employ a graph transformer (GT) architecture for the ...

Building on this, our work focuses on using PPO algorithm and improving it by optimizing hyperparameters, refining reward structures, and applying curriculum learning strategies to enhance learning ...

The final, formatted version of the article will be published soon. Metaheuristics optimization algorithms used in this research include PSO, ACO, GA, and SA and represent effective approaches toward ...

Autoregressive image generation has been shaped by advances in sequential modeling, originally seen in natural language processing. This field focuses on generating images one token at a time, similar ...