Bridging Imagination and Reality for Model-Based Deep Reinforcement
Learning

Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning

23 October 2020

ArXiv (abs)PDF HTML

Papers citing "Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning"

12 / 12 papers shown

Title
DMWM: Dual-Mind World Model with Long-Term Imagination Lingyi Wang Rashed Shelim Walid Saad Naren Ramakrishnan LRM 991 4 0 11 Feb 2025
Model-Driven Deep Neural Network for Enhanced AoA Estimation Using 5G gNBAAAI Conference on Artificial Intelligence (AAAI), 2024 Shengheng Liu Xingkang Li Zihuan Mao Peng Liu Yongming Huang 318 7 0 03 Jan 2025
Do Agents Dream of Electric Sheep?: Improving Generalization in Reinforcement Learning through Generative Learning Giorgio Franceschelli Mirco Musolesi AI4CE 216 0 0 12 Mar 2024
Model-based Reinforcement Learning with a Hamiltonian Canonical ODE Network Yao Feng Yuhong Jiang Hang Su Dong Yan Jun Zhu 191 1 0 02 Nov 2022
Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model Zeyu Gao Yao Mu Chen Chen Yangang Ren Shengbo Eben Li Ping Luo Yanfeng Lu 225 49 0 08 Oct 2022
Flow-based Recurrent Belief State Learning for POMDPsInternational Conference on Machine Learning (ICML), 2022 Xiaoyu Chen Yao Mu Ping Luo Sheng Li Jianyu Chen 165 25 0 23 May 2022
The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networksJournal of Vision (JOV), 2022 Lukas Huber Robert Geirhos Felix Wichmann 203 18 0 20 May 2022
ED2: Environment Dynamics Decomposition World Models for Continuous Control Jianye Hao Yifu Yuan Cong Wang Zhen Wang OffRL 182 3 0 06 Dec 2021
On Effective Scheduling of Model-based Reinforcement Learning Hang Lai Jian Shen Weinan Zhang Yimin Huang Xingzhi Zhang Ruiming Tang Yong Yu Zhenguo Li 216 22 0 16 Nov 2021
Uncertainty-Aware Model-Based Reinforcement Learning with Application to Autonomous Driving Jingda Wu Zhiyu Huang Chen Lv 189 8 0 23 Jun 2021
Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics MixtureNeural Information Processing Systems (NeurIPS), 2021 Suyoung Lee Sae-Young Chung OffRL AI4CE 190 20 0 28 May 2021
Acting upon Imagination: when to trust imagined trajectories in model based reinforcement learning Adrian Remonda Eduardo E. Veas Granit Luzhnica 241 4 0 12 May 2021