If they reach the ecosystem's carrying capacity in the Everglades, the pythons will spread, and that likely means into backyards.
Abstract: Continuous-time reinforcement learning (CT-RL) methods hold great promise in real-world applications. Adaptive dynamic programming (ADP)-based CT-RL algorithms, especially their theoretical ...
Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...
Abstract: Despite the significant advancements in single-agent evolutionary reinforcement learning, research exploring evolutionary reinforcement learning within multi-agent systems is still in its ...
AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...
Autonomous Rocket Landing with Deep Reinforcement Learning (Deep Q-Learning (DQN)) simulation in a custom Gymnasium environment inspired by SpaceX Falcon 9.