GitHub

Reinforcement Learning in LLM Tutorial (Python)

Here I show you reinforcement learning (RL) examples to train (fine-tune) language models (LM). All these examples are implemented from scratch (manually) in a step-by-step manner (*1), and also shows ...
IEEE

Reinforcement Learning-Based Optimal Path Planning for Mobile Robot with Obstacles Avoidance

Abstract: This paper presents a deep reinforcement learning (RL) approach for training mobile robots to navigate complex environments using the Twin Delayed Deep Deterministic Policy Gradient (TD3) ...
Nature

Machine learning articles from across Nature Portfolio

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
GitHub

Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory

We introduce M3-Agent, a novel multimodal agent framework equipped with long-term memory. Like humans, M3-Agent can process real-time visual and auditory inputs to build and update its long-term ...
BBC

Using materials - AQA Composite materials

It is often possible to separate the reinforcement from the matrix by physical processes. For example, reinforced concrete can be broken up using machinery. This is one stage in recycling the ...