IEEE

Smart Maze Solver Using Reinforcement Learning

Abstract: Smart Maze solver Using Reinforcement Learning (RL) aims to develop an agent capable of solving a maze-environment by using its learning in an RL algorithm specifically, Q-learning Algorithm ...
GitHub

reinforcement-learning

Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
GitHub

reinforcement-learning

A 3D autonomous drone simulation with AI-powered flight capabilities using deep reinforcement learning. Features realistic physics, LiDAR obstacle detection, and a neural network that learns to ...
marktechpost

Memory-R1: How Reinforcement Learning Supercharges LLM Memory Agents

Large language models (LLMs) now stand at the center of countless AI breakthroughs—chatbots, coding assistants, question answering, creative writing, and much more. But despite their prowess, they ...
Treasure Coast Newspapers

A new way Burmese python researchers are learning how snakes affect the Florida Everglades

Researchers are tracking pythons with accelerometers to learn how they move and eat. Burmese pythons are connected with a 90% decrease in mammals in the Florida Everglades. Conservationists use ...
Frontiers

Co-Learning: code learning for multi-agent reinforcement collaborative framework with ...

Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science, Faculty of Science and Technology, Beijing Normal University-Hong Kong Baptist University United ...