작성자 Arthur Juliani

Solving sparse-reward tasks with Curiosity

We just released the new version of ML-Agents toolkit (v0.4), and one of the new features we are excited to share with everyone is the abili... 더 읽기

6월 26, 201817

Unity ML-Agents Toolkit v0.4 and Udacity Deep Reinforcement Learning Nanodegree

We are happy to announce the release of the latest version of ML-Agents Toolkit: v0.4. It contains a number of features, which we hope every... 더 읽기

6월 19, 201812

ML-Agents Toolkit v0.3 Beta released: Imitation Learning, feedback-driven features, and more

We are happy to announce that the ML-Agents team is releasing the latest version of our toolkit, v0.3. This is our biggest release yet, a... 더 읽기

3월 15, 20189

Introducing ML-Agents Toolkit v0.2: Curriculum Learning, new environments, and more

The Machine Learning team at Unity is happy to announce the release of a new version of Unity Machine Learning Agents Toolkit – v0.2 Beta! W... 더 읽기

12월 8, 20179

유니티 머신러닝 에이전트 소개

기존에 작성한 두 개의 블로그 게시물에서 게임이 강화 학습 알고리즘 개발을 진전시키는데 수행할 수 있는 역할이 있다고 언급했었습니다. 유니티는 세계에서 가장 널리 사용되는 3D 엔진 개발업체로 머신러닝 및 게임 분야 사이에서 미래를 그려나가고 있습니다... 더 읽기

9월 19, 201772

Unity AI – Reinforcement Learning with Q-Learning

Welcome to the second entry in the Unity AI Blog series! For this post, I want to pick up where we left off last time, and talk about how to... 더 읽기

8월 22, 201715

Unity AI-themed Blog Entries

Who are these blog entries for? It is our objective to inform Unity Game Developers about the power of AI and ML approaches in game develop... 더 읽기

6월 26, 201722