Sample-efficient Cross-Entropy Method for Real-time Planning

14 August 2020

Papers citing "Sample-efficient Cross-Entropy Method for Real-time Planning"

24 / 24 papers shown

Title
Model Tensor Planning An T. Le K. Nguyen Minh Nhat Vu João Carvalho Jan Peters 25 0 0 02 May 2025
Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Pascal Roth Jonas Frey César Cadena Marco Hutter 33 0 0 27 Apr 2025
Learning Getting-Up Policies for Real-World Humanoid Robots Xialin He Runpei Dong Zixuan Chen Saurabh Gupta 77 5 0 17 Feb 2025
Zero-shot Model-based Reinforcement Learning using Large Language Models Abdelhakim Benechehab Youssef Attia El Hili Ambroise Odonnat Oussama Zekri Albert Thomas Giuseppe Paolo Maurizio Filippone I. Redko Balázs Kégl OffRL 62 1 0 17 Feb 2025
Increasing Information for Model Predictive Control with Semi-Markov Decision Processes Rémy Hosseinkhan Boucher Onofrio Semeraro L. Mathelin 45 0 0 28 Jan 2025
Zero-Shot Offline Imitation Learning via Optimal Transport Thomas Rupf Marco Bagatella Nico Gürtler Jonas Frey Georg Martius OffRL 127 0 0 11 Oct 2024
Incremental Few-Shot Adaptation for Non-Prehensile Object Manipulation using Parallelizable Physics Simulators Fabian Baumeister Lukas Mack Joerg Stueckler 34 2 0 20 Sep 2024
NeoRL: Efficient Exploration for Nonepisodic RL Bhavya Sukhija Lenart Treven Florian Dorfler Stelian Coros Andreas Krause OffRL 30 0 0 03 Jun 2024
Tactile-Driven Non-Prehensile Object Manipulation via Extrinsic Contact Mode Control M. Oller Dmitry Berenson Nima Fazeli 41 5 0 28 May 2024
A Pontryagin Perspective on Reinforcement Learning Onno Eberhard Claire Vernade Michael Muehlebach 43 2 0 28 May 2024
Learning Off-policy with Model-based Intrinsic Motivation For Active Online Exploration Yibo Wang Jiang Zhao OffRL OnRL 25 0 0 31 Mar 2024
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces Shyam Sundhar Ramesh Pier Giuseppe Sessa Yifan Hu Andreas Krause Ilija Bogunovic OOD 42 10 0 05 Sep 2023
Context-Conditional Navigation with a Learning-Based Terrain- and Robot-Aware Dynamics Model Suresh Guttikonda Jan Achterhold Haolong Li Joschka Boedecker Joerg Stueckler 29 2 0 18 Jul 2023
A Simple Decentralized Cross-Entropy Method Zichen Zhang Jun Jin Martin Jägersand Jun-Jie Luo Dale Schuurmans 13 8 0 16 Dec 2022
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes Joe Watson Jan Peters 23 15 0 07 Oct 2022
T3VIP: Transformation-based 3D Video Prediction Iman Nematollahi Erick Rosete-Beas Seyed Mahdi B. Azad Raghunandan Rajan Frank Hutter Wolfram Burgard VGen 50 1 0 19 Sep 2022
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance Jakob J. Hollenstein Sayantan Auddy Matteo Saveriano Erwan Renaudo J. Piater 26 17 0 08 Jun 2022
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems Pierre Schumacher D. Haeufle Dieter Buchler S. Schmitt Georg Martius 15 31 0 30 May 2022
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection Thomas Power Dmitry Berenson 22 29 0 10 May 2022
Learning to Get Up Tianxin Tao Matthew Wilson R. Gou M. van de Panne 14 17 0 30 Apr 2022
Inference of Affordances and Active Motor Control in Simulated Agents Fedor Scholz Christian Gumbsch S. Otte Martin Volker Butz AI4CE 23 5 0 23 Feb 2022
CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning Kevin Huang Sahin Lale Ugo Rosolia Yuanyuan Shi Anima Anandkumar 11 8 0 14 Dec 2021
Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains Christian Gumbsch Martin Volker Butz Georg Martius AI4CE 18 21 0 29 Oct 2021
Learning Dynamics Models for Model Predictive Agents M. Lutter Leonard Hasenclever Arunkumar Byravan Gabriel Dulac-Arnold Piotr Trochim N. Heess J. Merel Yuval Tassa AI4CE 57 26 0 29 Sep 2021