Guided Cooperation in Hierarchical Reinforcement Learning via
Model-based Rollout

Guided Cooperation in Hierarchical Reinforcement Learning via Model-based Rollout

24 September 2023

Papers citing "Guided Cooperation in Hierarchical Reinforcement Learning via Model-based Rollout"

18 / 18 papers shown

Title
HG2P: Hippocampus-inspired High-reward Graph and Model-Free Q-Gradient Penalty for Path Planning and Motion Control Haoran Wang Yaoru Sun Zeshen Tang Haibo Shi Chenyuan Jiao 64 0 0 12 Oct 2024
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets Haoran He C. Chang Huazhe Xu Ling Pan 108 7 0 03 Jun 2024
Imitating Graph-Based Planning with Goal-Conditioned Policies Junsup Kim Younggyo Seo SungSoo Ahn Kyunghwan Son Jinwoo Shin 48 10 0 20 Mar 2023
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning Junsup Kim Younggyo Seo Jinwoo Shin 60 59 0 26 Oct 2021
Model-based Policy Optimization with Unsupervised Model Adaptation Jian Shen Han Zhao Weinan Zhang Yong Yu 57 28 0 19 Oct 2020
LaND: Learning to Navigate from Disengagements G. Kahn Pieter Abbeel Sergey Levine 30 52 0 09 Oct 2020
Plan2Vec: Unsupervised Representation Learning by Latent Plans Ge Yang Amy Zhang Ari S. Morcos Joelle Pineau Pieter Abbeel Roberto Calandra SSL OffRL 42 27 0 07 May 2020
Sparse Graphical Memory for Robust Planning Scott Emmons Ajay Jain Michael Laskin Thanard Kurutach Pieter Abbeel Deepak Pathak 53 50 0 13 Mar 2020
Hallucinative Topological Memory for Zero-Shot Visual Planning Kara Liu Thanard Kurutach Christine Tung Pieter Abbeel Aviv Tamar 55 48 0 27 Feb 2020
When to Trust Your Model: Model-Based Policy Optimization Michael Janner Justin Fu Marvin Zhang Sergey Levine OffRL 55 939 0 19 Jun 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 51 289 0 12 Jun 2019
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction Aviral Kumar Justin Fu George Tucker Sergey Levine OffRL OnRL 76 1,044 0 03 Jun 2019
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine 53 208 0 02 Oct 2018
Semi-parametric Topological Memory for Navigation Nikolay Savinov Alexey Dosovitskiy V. Koltun 44 379 0 01 Mar 2018
Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning Vladimir Feinberg Alvin Wan Ion Stoica Michael I. Jordan Joseph E. Gonzalez Sergey Levine OffRL 50 317 0 28 Feb 2018
Stochastic Neural Networks for Hierarchical Reinforcement Learning Carlos Florensa Yan Duan Pieter Abbeel BDL 67 360 0 10 Apr 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 130 9,509 0 31 Mar 2017
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 183 13,174 0 09 Sep 2015