As artificial intelligence advances toward Embodied AI and real-world physical interaction, high-fidelity 3D simulation environments have long been an…
Hugging Face has officially launched the "AI vs. AI" multi-agent competition system — a brand-new platform designed specifically for Deep Reinforcement…
Decision Transformer (DT) is an innovative architecture that reframes reinforcement learning (RL) as a sequence modeling problem. Traditional reinforcement…
Proximal Policy Optimization (PPO) is a deep reinforcement learning (DRL) algorithm proposed by OpenAI in 2017. Due to its ease of implementation, training…
This is a classic unit from Hugging Face's Deep Reinforcement Learning Course, offering a deep dive into the Advantage Actor-Critic algorithm (A2C). In…
This tutorial comes from Unit 4 of Hugging Face's Deep Reinforcement Learning Course, covering the topic of "Implementing Policy Gradients with PyTorch." In…
This article is Unit 3 of Hugging Face's free Deep Reinforcement Learning course, covering the topic of Deep Q-Learning (DQN). In traditional Q-Learning, we…
This blog post is the second part (hands-on edition) of the Q-Learning section in Hugging Face's Deep Reinforcement Learning Class. The article aims to…
This classic tutorial from Hugging Face is the first part of its "Deep Reinforcement Learning Course," designed to give readers a solid foundation in…
This article is the introductory first chapter of the official Hugging Face "Deep Reinforcement Learning Course." With the widespread adoption of RLHF…
Hugging Face announced the launch of its first custom virtual environment built on Unity ML-Agents: "Snowball Fight." This marks Hugging Face's formal…