5,862 results for monetary policy statement imi

github.com/imiz5603/Ignore

imiz5603/Ignore

Improvement assesment RE Charl Marais (⭐ 0)

arxiv.org/abs/2503.01206v3

Action Tokenizer Matters in In-Context Imitation Learning

In-context imitation learning (ICIL) is a new paradigm that enables robots to generalize from demonstrations to unseen tasks without retraining. A well-structured action representation is the key to capturing demonstration information effectively, ye...

arxiv.org/abs/2307.15980v3

Initial State Interventions for Deconfounded Imitation Learning

Imitation learning suffers from causal confusion. This phenomenon occurs when learned policies attend to features that do not causally influence the expert actions but are instead spuriously correlated. Causally confused agents produce low open-loop...

github.com/lnmangione/Meccanoid-Imitate

lnmangione/Meccanoid-Imitate

A guide: Imitating human motion in real time using Arduino, Xbox Kinect, and the Meccanoid robot (⭐ 171)

en.wikipedia.org/wiki/Imixs-Workflow

Imixs-Workflow - Wikipedia

on human based workflows used to execute and control workflows in organisations and enterprises. In difference to task-oriented workflow engines, which

arxiv.org/abs/2010.05134v2

Deep Imitation Learning for Bimanual Robotic Manipulation

We present a deep imitation learning framework for robotic bimanual manipulation in a continuous state-action space. A core challenge is to generalize the manipulation skills to objects in different locations. We hypothesize that modeling the relatio...

arxiv.org/abs/2002.12500v4

Efficiently Guiding Imitation Learning Agents with Human Gaze

Human gaze is known to be an intention-revealing signal in human demonstrations of tasks. In this work, we use gaze cues from human demonstrators to enhance the performance of agents trained via three popular imitation learning methods -- behavioral...

arxiv.org/abs/1809.02064v3

Sample-Efficient Imitation Learning via Generative Adversarial Nets

GAIL is a recent successful imitation learning architecture that exploits the adversarial training procedure introduced in GANs. Albeit successful at generating behaviours similar to those demonstrated to the agent, GAIL suffers from a high sample co...

arxiv.org/abs/2509.26294v1

Noise-Guided Transport for Imitation Learning

We consider imitation learning in the low-data regime, where only a limited number of expert demonstrations are available. In this setting, methods that rely on large-scale pretraining or high-capacity architectures can be difficult to apply, and eff...

github.com/iminto/baicai

iminto/baicai

基于SpringMVC的p2p互联网金融系统 (⭐ 49)

arxiv.org/abs/2308.04665v1

Sudowoodo: a Chinese Lyric Imitation System with Source Lyrics

Lyrics generation is a well-known application in natural language generation research, with several previous studies focusing on generating accurate lyrics using precise control such as keywords, rhymes, etc. However, lyrics imitation, which involves...

www.reddit.com/r/cluj/comments/1n4zaxs/pt_worldclass/

PT WorldClass

Buna! Am abonament la Worldclass. Scopul meu e sa fac miscare in ritmul in care pot si in care imi permit sau imi cer niste afectiuni si sa corectez ce fac gresit tehnic. Prefer clasele pt ca ma ener...

en.wikipedia.org/wiki/%C5%8Cj%C5%8Dgiwa_no_Imi_o_Shire%21

Ōjōgiwa no Imi o Shire! - Wikipedia

Ōjōgiwa no Imi o Shire! (往生際の意味を知れ!) is a Japanese manga series written and illustrated by Kyo Yoneshiro [ja]. It was serialized in Shogakukan's seinen

arxiv.org/abs/2410.19693v1

MILES: Making Imitation Learning Easy with Self-Supervision

Data collection in imitation learning often requires significant, laborious human supervision, such as numerous demonstrations, and/or frequent environment resets for methods that incorporate reinforcement learning. In this work, we propose an altern...