Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...
Overview: Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...
Abstract: Bio-inspired swarm robotics is an emerging field at the intersection of biology, robotics, and artificial intelligence, offering novel capabilities by integrating living organisms with ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Abstract: This paper reports on learning a reward map for social navigation in dynamic environments where the robot can reason about its path at any time, given agent trajectories and scene geometry.
LLaVA-OneVision-1.5-RL introduces a training recipe for multimodal reinforcement learning, building upon the foundation of LLaVA-OneVision-1.5. This framework is designed to democratize access to ...
This is the official implementaion of paper PrivORL: Differentially Private Synthetic Dataset for Offline Reinforcement Learning. This repository contains Pytorch training code and evaluation code.
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