Hyperparameter

Trust Region Policy Optimization

John Schulman, Sergey Levine, Philipp Moritz, Michael I. Jordan, Pieter Abbeel

Citations: 3141 • 2015

Optuna: A Next-generation Hyperparameter Optimization Framework

Citations: 995 • 2019

Learning to Walk Via Deep Reinforcement Learning

Tuomas Haarnoja, Sehoon Ha, Aurick Zhou, Jie Tan, George Tucker, Sergey Levine

Citations: 434 • 2019

Reinforcement Learning with Deep Energy-Based Policies

Tuomas Haarnoja, Haoran Tang, Pieter Abbeel, Sergey Levine

Citations: 434 • 2017

Predictive Entropy Search for Efficient Global Optimization of Black-box Functions

José Miguel Hernández-Lobato, Matthew W. Hoffman, Zoubin Ghahramani

Citations: 400 • 2014

Gaussian Processes for Signal Strength-Based Location Estimation

Brian Ferris, Dirk Haehnel, D. Fox

Citations: 394 • 2006

Hybrid intelligent algorithms and applications

Emilio Corchado, Ajith Abraham, André C. P. L. F. de Carvalho

Citations: 155 • 2010

A novel vibration-based prognostic scheme for gear health management in surface wear progression of the intelligent manufacturing system

Ke Feng, Jinchen Ji, Qing Ni, Yifan Li, Wentao Mao, Libin Liu

Citations: 136 • 2023

Real-time model learning using Incremental Sparse Spectrum Gaussian Process Regression

Arjan Gijsberts, Giorgio Metta

Citations: 106 • 2012

Guided Policy Search via Approximate Mirror Descent

William Montgomery, Sergey Levine

Citations: 83 • 2016

Evolutionary Reinforcement Learning: A Survey

Hui Bai, Ran Cheng, Yaochu Jin

Citations: 78 • 2023

Optimal Deep Learning for Robot Touch: Training Accurate Pose Models of 3D Surfaces and Edges

Nathan F. Lepora, John W. Lloyd

Citations: 63 • 2020

Spatio-Temporal Learning With the Online Finite and Infinite Echo-State Gaussian Processes

Harold Soh, Yiannis Demiris

Citations: 60 • 2014

Multimodal pedestrian detection using metaheuristics with deep convolutional neural network in crowded scenes

Deepak Kumar Jain, Xudong Zhao, Germán González-Almagro, Chenquan Gan, Ketan Kotecha

Citations: 57 • 2023

Reinforcement Learning for Engineering Design Automation

Fabian Dworschak, Sebastian Dietze, Maximilian Wittmann, Benjamin Schleich, Sandro Wartzack

Citations: 57 • 2022

A Greedy Agglomerative Framework for Clustered Federated Learning

Manan Mehta, Chenhui Shao

Citations: 56 • 2023

Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning

Jiachen Li, Hengbo Ma, Masayoshi Tomizuka

Citations: 55 • 2019

The Revisiting Problem in Mobile Robot Map Building: A Hierarchical Bayesian Approach

Benjamin Stewart, Jonathan Ko, Dieter Fox, Kurt Konolige

Citations: 54 • 2012

Surrogate Modeling for Bayesian Optimization Beyond a Single Gaussian Process

Qin Lu, Konstantinos D. Polyzos, Bingcong Li, Georgios B. Giannakis

Citations: 53 • 2023

An Optimized-LSTM and RGB-D Sensor-Based Human Gait Trajectory Generator for Bipedal Robot Walking

Sravan Kumar Challa, Akhilesh Kumar, Vijay Bhaskar Semwal, Nidhi Dua

Citations: 52 • 2022