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Adjacency constraint for efficient hierarchical reinforcement learning

30 October 2021

Papers citing "Adjacency constraint for efficient hierarchical reinforcement learning"

26 / 26 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 89 0 0 12 Oct 2024
Reinforcement learning Florentin Wörgötter 86 2,529 0 16 May 2024
Understanding Domain Randomization for Sim-to-real Transfer Xiaoyu Chen Jiachen Hu Chi Jin Lihong Li Liwei Wang 193 118 0 07 Oct 2021
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning Tianren Zhang Shangqi Guo Tian Tan Xiaolin Hu Feng Chen 76 86 0 20 Jun 2020
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 95 364 0 27 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning A. Srinivas Michael Laskin Pieter Abbeel SSL DRL OffRL 115 1,092 0 08 Apr 2020
Q-Learning in enormous action spaces via amortized approximate maximization T. Wiele David Warde-Farley A. Mnih Volodymyr Mnih 61 60 0 22 Jan 2020
Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning? Ofir Nachum Haoran Tang Xingyu Lu S. Gu Honglak Lee Sergey Levine 68 102 0 23 Sep 2019
Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery Kristian Hartikainen Xinyang Geng Tuomas Haarnoja Sergey Levine SSL 77 82 0 18 Jul 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 83 293 0 12 Jun 2019
Exploration via Hindsight Goal Generation Zhizhou Ren Kefan Dong Yuanshuo Zhou Qiang Liu Jian-wei Peng 70 90 0 10 Jun 2019
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine 82 211 0 02 Oct 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 102 812 0 21 May 2018
Semi-parametric Topological Memory for Navigation Nikolay Savinov Alexey Dosovitskiy V. Koltun 79 383 0 01 Mar 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 195 5,226 0 26 Feb 2018
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 238 5,079 0 02 Nov 2017
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization Xue Bin Peng Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel 117 1,368 0 18 Oct 2017
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 284 2,339 0 05 Jul 2017
Automatic Goal Generation for Reinforcement Learning Agents Carlos Florensa David Held Xinyang Geng Pieter Abbeel 111 515 0 17 May 2017
Stochastic Neural Networks for Hierarchical Reinforcement Learning Carlos Florensa Yan Duan Pieter Abbeel BDL 106 361 0 10 Apr 2017
FeUdal Networks for Hierarchical Reinforcement Learning A. Vezhnevets Simon Osindero Tom Schaul N. Heess Max Jaderberg David Silver Koray Kavukcuoglu FedML 98 907 0 03 Mar 2017
Deep Successor Reinforcement Learning Tejas D. Kulkarni A. Saeedi Simanta Gautam S. Gershman 74 209 0 08 Jun 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation Tejas D. Kulkarni Karthik Narasimhan A. Saeedi J. Tenenbaum 78 1,141 0 20 Apr 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 210 8,882 0 04 Feb 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 330 13,295 0 09 Sep 2015
Metrics for Finite Markov Decision Processes N. Ferns Prakash Panangaden Doina Precup 84 320 0 11 Jul 2012