Faster physics in Python
【RSS 原文 · 未经 AI 筛选或翻译】We’re open-sourcing a high-performance Python library for robotic simulation using the MuJoCo engine, developed over our past year of robotics research.
#未经AI处理
OpenAI News
OpenAI News Learning from human preferences
【RSS 原文 · 未经 AI 筛选或翻译】One step towards building safe AI systems is to remove the need for humans to write goal functions, since using a simple proxy for a complex goal, or getting the complex goal a bit wrong, can lead to undesirable and even dangerous behavior. In collaboration with DeepMind’s safety team, we’ve developed an algorithm which can infer what humans want by being told which of two proposed behaviors is better.
OpenAI News Learning to cooperate, compete, and communicate
【RSS 原文 · 未经 AI 筛选或翻译】Multiagent environments where agents compete for resources are stepping stones on the path to AGI. Multiagent environments have two useful properties: first, there is a natural curriculum—the difficulty of the environment is determined by the skill of your competitors (and if you’re competing against clones of yourself, the environment exactly matches your skill level). Second, a multiagent environment has no stable equilibrium: no matter how smart an agent is, there’s always pressure to get smarter. These environments have a very different feel from traditional environments, and it’ll take a lot more research before we become good at them.
OpenAI News UCB exploration via Q-ensembles
【RSS 原文 · 未经 AI 筛选或翻译】此订阅未提供摘要，请通过原文链接阅读。
OpenAI News OpenAI Baselines: DQN
【RSS 原文 · 未经 AI 筛选或翻译】We’re open-sourcing OpenAI Baselines, our internal effort to reproduce reinforcement learning algorithms with performance on par with published results. We’ll release the algorithms over upcoming months; today’s release includes DQN and three of its variants.
OpenAI News Robots that learn
【RSS 原文 · 未经 AI 筛选或翻译】We’ve created a robotics system, trained entirely in simulation and deployed on a physical robot, which can learn a new task after seeing it done once.
OpenAI News Roboschool
【RSS 原文 · 未经 AI 筛选或翻译】We are releasing Roboschool: open-source software for robot simulation, integrated with OpenAI Gym.
OpenAI News Equivalence between policy gradients and soft Q-learning
【RSS 原文 · 未经 AI 筛选或翻译】此订阅未提供摘要，请通过原文链接阅读。
OpenAI News Stochastic Neural Networks for hierarchical reinforcement learning
【RSS 原文 · 未经 AI 筛选或翻译】此订阅未提供摘要，请通过原文链接阅读。
OpenAI News Unsupervised sentiment neuron
【RSS 原文 · 未经 AI 筛选或翻译】We’ve developed an unsupervised system which learns an excellent representation of sentiment, despite being trained only to predict the next character in the text of Amazon reviews.
OpenAI News Spam detection in the physical world
【RSS 原文 · 未经 AI 筛选或翻译】We’ve created the world’s first Spam-detecting AI trained entirely in simulation and deployed on a physical robot.
OpenAI News Evolution strategies as a scalable alternative to reinforcement learning
【RSS 原文 · 未经 AI 筛选或翻译】We’ve discovered that evolution strategies (ES), an optimization technique that’s been known for decades, rivals the performance of standard reinforcement learning (RL) techniques on modern RL benchmarks (e.g. Atari/MuJoCo), while overcoming many of RL’s inconveniences.
OpenAI News One-shot imitation learning
【RSS 原文 · 未经 AI 筛选或翻译】此订阅未提供摘要，请通过原文链接阅读。
OpenAI News Distill
【RSS 原文 · 未经 AI 筛选或翻译】We’re excited to support today’s launch of Distill, a new kind of journal aimed at excellent communication of machine learning results (novel or existing).
OpenAI News Learning to communicate
【RSS 原文 · 未经 AI 筛选或翻译】In this post we’ll outline new OpenAI research in which agents develop their own language.
OpenAI News Emergence of grounded compositional language in multi-agent populations
【RSS 原文 · 未经 AI 筛选或翻译】此订阅未提供摘要，请通过原文链接阅读。
OpenAI News Prediction and control with temporal segment models
【RSS 原文 · 未经 AI 筛选或翻译】此订阅未提供摘要，请通过原文链接阅读。
OpenAI News Third-person imitation learning
【RSS 原文 · 未经 AI 筛选或翻译】此订阅未提供摘要，请通过原文链接阅读。
OpenAI News Attacking machine learning with adversarial examples
【RSS 原文 · 未经 AI 筛选或翻译】Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mistake; they’re like optical illusions for machines. In this post we’ll show how adversarial examples work across different mediums, and will discuss why securing systems against them can be difficult.
OpenAI News Adversarial attacks on neural network policies
【RSS 原文 · 未经 AI 筛选或翻译】此订阅未提供摘要，请通过原文链接阅读。
OpenAI News Team update
【RSS 原文 · 未经 AI 筛选或翻译】The OpenAI team is now 45 people. Together, we’re pushing the frontier of AI capabilities—whether by validating novel ideas, creating new software systems, or deploying machine learning on robots.
OpenAI News PixelCNN++: Improving the PixelCNN with discretized logistic mixture likelihood and other modifications
【RSS 原文 · 未经 AI 筛选或翻译】此订阅未提供摘要，请通过原文链接阅读。
OpenAI News Faulty reward functions in the wild
【RSS 原文 · 未经 AI 筛选或翻译】Reinforcement learning algorithms can break in surprising, counterintuitive ways. In this post we’ll explore one failure mode, which is where you misspecify your reward function.
OpenAI News Universe
【RSS 原文 · 未经 AI 筛选或翻译】We’re releasing Universe, a software platform for measuring and training an AI’s general intelligence across the world’s supply of games, websites and other applications.
OpenAI News OpenAI and Microsoft
【RSS 原文 · 未经 AI 筛选或翻译】We’re working with Microsoft to start running most of our large-scale experiments on Azure.
OpenAI News #Exploration: A study of count-based exploration for deep reinforcement learning
【RSS 原文 · 未经 AI 筛选或翻译】此订阅未提供摘要，请通过原文链接阅读。
OpenAI News On the quantitative analysis of decoder-based generative models
【RSS 原文 · 未经 AI 筛选或翻译】此订阅未提供摘要，请通过原文链接阅读。
OpenAI News A connection between generative adversarial networks, inverse reinforcement learning, and energy-based models
【RSS 原文 · 未经 AI 筛选或翻译】此订阅未提供摘要，请通过原文链接阅读。
OpenAI News RL²: Fast reinforcement learning via slow reinforcement learning
【RSS 原文 · 未经 AI 筛选或翻译】此订阅未提供摘要，请通过原文链接阅读。
OpenAI News Variational lossy autoencoder
【RSS 原文 · 未经 AI 筛选或翻译】此订阅未提供摘要，请通过原文链接阅读。
OpenAI News Extensions and limitations of the neural GPU
【RSS 原文 · 未经 AI 筛选或翻译】此订阅未提供摘要，请通过原文链接阅读。
OpenAI News Semi-supervised knowledge transfer for deep learning from private training data
【RSS 原文 · 未经 AI 筛选或翻译】此订阅未提供摘要，请通过原文链接阅读。
OpenAI News Report from the self-organizing conference
【RSS 原文 · 未经 AI 筛选或翻译】Last week we hosted over a hundred and fifty AI practitioners in our offices for our first self-organizing conference on machine learning.
OpenAI News Transfer from simulation to real world through learning deep inverse dynamics model
【RSS 原文 · 未经 AI 筛选或翻译】此订阅未提供摘要，请通过原文链接阅读。
OpenAI News Infrastructure for deep learning
【RSS 原文 · 未经 AI 筛选或翻译】Deep learning is an empirical science, and the quality of a group’s infrastructure is a multiplier on progress. Fortunately, today’s open-source ecosystem makes it possible for anyone to build great deep learning infrastructure.
OpenAI News Machine Learning Unconference
【RSS 原文 · 未经 AI 筛选或翻译】The latest information about the Unconference is now available at the Unconference wiki, which will be periodically updated with more information for attendees.
OpenAI News Team update
【RSS 原文 · 未经 AI 筛选或翻译】We’ve hired more great people to help us achieve our goals. Welcome, everyone!
OpenAI News Special projects
【RSS 原文 · 未经 AI 筛选或翻译】Impactful scientific work requires working on the right problems—problems which are not just interesting, but whose solutions matter.
OpenAI News Concrete AI safety problems
【RSS 原文 · 未经 AI 筛选或翻译】We (along with researchers from Berkeley and Stanford) are co-authors on today’s paper led by Google Brain researchers, Concrete Problems in AI Safety. The paper explores many research problems around ensuring that modern machine learning systems operate as intended.
OpenAI News OpenAI technical goals
【RSS 原文 · 未经 AI 筛选或翻译】OpenAI’s mission is to build safe AI, and ensure AI’s benefits are as widely and evenly distributed as possible.