Marktechpost

APRIL 1, 2024

This technique cycles through collecting human preferences, learning rewards, and optimizing policy accordingly. Researchers from the Alibaba Group have proposed a new framework named Reward Learning on Policy (RLP). Using an unsupervised approach, RLP aims to refine the reward model with the policy’s sample distribution.

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AI Impacts

APRIL 1, 2023

There is a policy that is guaranteed to increase the number of years between now and the arrival of transformative AI. One possible objection to this policy is that our time standards are not entirely causally disconnected from the rest of the world. Still, it does seem that the policy might have undesirable side effects.

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Analytics Vidhya

NOVEMBER 11, 2020

The post Baseline for Policy Gradients that All Deep Learning Enthusists Must Know appeared first on Analytics Vidhya. Introduction Photo by Kevin Ku on Unsplash Deep reinforcement learning has a variety of different algorithms that solves many types of complex problems in.

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Marktechpost

JULY 9, 2023

Both traditional RL and meta-RL employ the same policy to explore (collect data to better the policy) and exploit (get high episode reward). This lightweight meta-RL framework learns a set of policies: an intelligent explore policy and an intelligent exploit policy.

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Towards AI

MAY 23, 2023

RL algorithms can be generally categorized into two groups i.e., value-based and policy-based methods. In contrast, policy-based methods try to learn and optimize a policy function, which is basically a mapping from states to actions. PG can also handle non-differentiable policies, making it suitable for complex scenarios.

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Flipboard

MARCH 28, 2023

Almost half of companies have ChatGPT policies. You need one as well. There are many amazing things about ChatGPT and other Ai tools that are available. AI can do everything from write your headlines for you to draw you the Presidents of the United States as if they were supervillains.

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Marktechpost

NOVEMBER 3, 2023

In recent research, a team of researchers has proposed a new approach called Large Language Model Reinforcement Learning Policy (LLaRP), using which LLMs can be tailored to act as generalizable policies for embodied visual tasks. If you like our work, you will love our newsletter. We are also on Telegram and WhatsApp.

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Marktechpost

MAY 5, 2024

While robots have traditionally relied on predefined skills and specialized engineering, recent developments show potential in using LLMs to help guide reinforcement learning (RL) policies, bridging the gap between abstract high-level planning and detailed robotic control.

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Flipboard

MARCH 13, 2023

A controversial change to Discord's privacy policy has now been reversed, with the company also clarifying its AI-related privacy policies. When Discord launched its new AI-assisted version of chatbot Clyde, users also noticed that the company had deleted a clause from its privacy policy that said …

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databricks

APRIL 7, 2023

We are excited to announce that cluster policies are now generally available. Why Databricks cluster policies? Databricks cluster policies enable administrators to: limit.

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Towards AI

FEBRUARY 13, 2023

A Simple Explanation of Policy Gradient for Reinforcement Learning with very little Math Continue reading on Towards AI Join thousands of data leaders on the AI newsletter. Last Updated on February 13, 2023 by Editorial Team Author(s): Renu Khandelwal Originally published on Towards AI.

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Towards AI

SEPTEMBER 5, 2023

Last Updated on September 6, 2023 by Editorial Team Author(s): James Koh, PhD Originally published on Towards AI. Comes with plug-and-play code incorporating importance sampling This member-only story is on us. Upgrade to access all of Medium.

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Marktechpost

FEBRUARY 24, 2024

According to recent studies, a policy’s depiction can significantly affect learning performance. Policy representations such as feed-forward neural networks, energy-based models, and diffusion have all been investigated in earlier research. Models that perform better during training (e.g.,

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Marktechpost

APRIL 17, 2024

Researchers from Cornell University, Princeton University, and Microsoft Research introduced a new algorithm, the Dataset Reset Policy Optimization (DR-PO) method. This method capitalizes on the informative nature of the offline dataset by resetting the policy optimizer to states previously identified as valuable by human labelers.

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Flipboard

JUNE 29, 2023

OpenAI's Privacy Policy: What User Data Does OpenAI Collect? Conversations aren't the only data you're handing over when you use ChatGPT. When you …

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Marktechpost

FEBRUARY 25, 2024

In conclusion, Premier-TACO significantly advances few-shot policy learning, offering a robust and highly generalizable representation pretraining framework. Its adaptability to diverse tasks, embodiments, and data imperfections underlines its potential for a wide range of applications in the field of sequential decision-making.

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Marktechpost

MARCH 22, 2024

RLHF works by fitting a reward model on preferred outputs and training a policy using reinforcement learning algorithms like PPO. Different techniques like RLHF, RLAIF, and LoRA have been developed to overcome the existing limitations.

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Marktechpost

JULY 9, 2023

Introducing denoising diffusion policy optimization (DDPO), which treats denoising diffusion as a multi-step decision-making problem, enables fine-tuning Stable Diffusion on challenging downstream objectives. DDPO presents a class of policy gradient algorithms designed for this purpose.

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Mlearning.ai

JULY 14, 2023

This time, I will delve deeper into the utilisation of Proximal Policy Optimisation (PPO), a reinforcement learning approach, in the training process of ChatGPT. In this article, I will provide an introduction to reinforcement learning, starting from the basics and covering both value-based and policy-based RL methods.

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NYU Center for Data Science

MARCH 23, 2023

The AI, Misinformation, and Policy Seminar Series (AMPol) at the Center for Data Science explores this critical research area, featuring speakers working in the intersecting fields of data science, machine learning, and misinformation. To access the lecture slides, please visit Emily Saltz Lecture Slides. by Meryl Phair

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DeepMind

MAY 5, 2022

To make RL more applicable to real-world applications like robotics, we propose using an intelligent evaluation procedure to select the policy for deployment, called active offline policy selection (A-OPS).

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DeepMind

MAY 5, 2022

To make RL more applicable to real-world applications like robotics, we propose using an intelligent evaluation procedure to select the policy for deployment, called active offline policy selection (A-OPS).

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Flipboard

JULY 5, 2023

Google has updated its privacy policy to say that "publicly available" data will be used to train Brad and Cloud AI. To me, artificial intelligence is …

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Google Research AI blog

APRIL 12, 2023

In “ Learning Universal Policies via Text-Guided Video Generation ”, we propose a Universal Policy (UniPi) that addresses environmental diversity and reward specification challenges. Video policies generated by UniPi. UniPi leverages text for expressing task descriptions and video (i.e.,

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Analytics Vidhya

MAY 8, 2024

In robotics, sim-to-real transfer refers to transferring policies learned in simulation to the real world. Introduction Have you ever thought robots would learn independently with the power of LLMs? It’s happening now! DrEureka is automating sim-to-real design in robotics.

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Extreme Tech

FEBRUARY 20, 2024

It’s only a matter of time before Air Canada’s blunder becomes a legal precedent for other Canadians misled by customer service chatbots.

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databricks

MAY 11, 2023

Introduction This blog is part of our Admin Essentials series, where we'll focus on topics important to those managing and maintaining Databricks environments.

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SAS Software

AUGUST 7, 2023

Using data to inform policies for continuing the fight against the overdose epidemic was published on SAS Voices by Juan Colon Government agencies nationwide are grappling with social issues such as gun violence, gang activity, burglaries and homelessness to go along with the enduring overdose crisis.

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Marktechpost

AUGUST 18, 2023

Since the pre-trained representation itself does the hard lifting (due to its structure), and completely avoids the difficulty of multi-modal, sequential action prediction, the findings show that this method outperforms policy learning (through Behavior Cloning).

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AI News

DECEMBER 11, 2023

AI Governance: Creating a Safe and Thriving AI Sector,” the main policy paper proposes leveraging current US government entities to regulate AI tools within their respective domains. You can find MIT’s series of AI policy briefs here. Titled “A Framework for U.S.

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Marktechpost

JULY 18, 2023

The Google team, thus, proposed a Universal Policy (UniPi) that addresses challenges in environmental diversity and reward specification in their recent paper titled “Learning Universal Policies via Text-Guided Video Generation.” An agent then executes these low-level control actions using closed-loop control.

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AssemblyAI

APRIL 23, 2024

For example, in the image below, you can see how to configure a list of PII redaction policies. The user can add multiple policies to the list, and select each policy from a dropdown.

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Marktechpost

APRIL 30, 2024

Initially designed for continuous control tasks, Proximal Policy Optimization (PPO) has become widely used in reinforcement learning (RL) applications, including fine-tuning generative models. Policy Gradient (PG) methods, renowned for their direct, gradient-based policy optimization, are pivotal in RL.

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IBM Journey to AI blog

JANUARY 26, 2024

This gave the new perspective to the concept of intent-based networking (IBN), where human administrators express high-level network objectives in natural language known as “intents” and that these human intents are automatically translated into network policies and configurations.

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IBM Journey to AI blog

MARCH 8, 2024

Policies driving development At 2023’s United Nation’s Climate Change Conference (COP28), governments set a goal to triple global renewables power capacity by 2030. To develop renewable energy technology, governments are turning to various public policy measures.

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Flipboard

AUGUST 12, 2023

A recent controversy about Zoom’s ability to train AI on users’ conversations shows the importance of reading the fine print

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SAS Software

APRIL 4, 2023

The post Analítica de textos e IA para identificar patrones de trata de seres humanos en la documentación policial appeared first on SAS Blogs. Analizar manualmente esta gran cantidad de datos en busca de patrones puede llevar mucho tiempo y sus [.]

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