Constrained Intrinsic Motivation for Reinforcement Learning

12 July 2024

Cong Wang

Papers citing "Constrained Intrinsic Motivation for Reinforcement Learning"

24 / 24 papers shown

Title
Behavior Contrastive Learning for Unsupervised Skill Discovery Rushuai Yang Chenjia Bai Hongyi Guo Siyuan Li Bin Zhao Zhen Wang Peng Liu Xuelong Li SSL 61 16 0 08 May 2023
Controllability-Aware Unsupervised Skill Discovery Seohong Park Kimin Lee Youngwoon Lee Pieter Abbeel 44 43 0 10 Feb 2023
Redeeming Intrinsic Rewards via Constrained Optimization Eric Chen Zhang-Wei Hong Joni Pajarinen Pulkit Agrawal OnRL 49 24 0 14 Nov 2022
A Mixture of Surprises for Unsupervised Reinforcement Learning Andrew Zhao Matthieu Lin Yangguang Li Yang Liu Gao Huang 38 13 0 13 Oct 2022
Lipschitz-constrained Unsupervised Skill Discovery Seohong Park Jongwook Choi Jaekyeom Kim Honglak Lee Gunhee Kim 62 44 0 02 Feb 2022
URLB: Unsupervised Reinforcement Learning Benchmark Michael Laskin Denis Yarats Hao Liu Kimin Lee Albert Zhan Kevin Lu Catherine Cang Lerrel Pinto Pieter Abbeel SSL OffRL 54 134 0 28 Oct 2021
APS: Active Pretraining with Successor Features Hao Liu Pieter Abbeel 76 119 0 31 Aug 2021
MADE: Exploration via Maximizing Deviation from Explored Regions Tianjun Zhang Paria Rashidinejad Jiantao Jiao Yuandong Tian Joseph E. Gonzalez Stuart J. Russell OffRL 74 42 0 18 Jun 2021
Principled Exploration via Optimistic Bootstrapping and Backward Induction Chenjia Bai Lingxiao Wang Lei Han Jianye Hao Animesh Garg Peng Liu Zhaoran Wang OffRL 44 38 0 13 May 2021
Behavior From the Void: Unsupervised Active Pre-Training Hao Liu Pieter Abbeel VLM SSL 68 196 0 08 Mar 2021
State Entropy Maximization with Random Encoders for Efficient Exploration Younggyo Seo Lili Chen Jinwoo Shin Honglak Lee Pieter Abbeel Kimin Lee 51 123 0 18 Feb 2021
Adversarially Guided Actor-Critic Yannis Flet-Berliac Johan Ferret Olivier Pietquin Philippe Preux Matthieu Geist 39 71 0 08 Feb 2021
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning Kimin Lee Michael Laskin A. Srinivas Pieter Abbeel OffRL 44 201 0 09 Jul 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 188 1,338 0 15 Apr 2020
Dynamics-Aware Unsupervised Discovery of Skills Archit Sharma S. Gu Sergey Levine Vikash Kumar Karol Hausman 79 404 0 02 Jul 2019
Fast Task Inference with Variational Intrinsic Successor Features Steven Hansen Will Dabney André Barreto T. Wiele David Warde-Farley Volodymyr Mnih BDL 62 151 0 12 Jun 2019
Self-Supervised Exploration via Disagreement Deepak Pathak Dhiraj Gandhi Abhinav Gupta SSL 62 377 0 10 Jun 2019
Provably Efficient Maximum Entropy Exploration Elad Hazan Sham Kakade Karan Singh A. V. Soest 62 295 0 06 Dec 2018
Exploration by Random Network Distillation Yuri Burda Harrison Edwards Amos Storkey Oleg Klimov 109 1,310 0 30 Oct 2018
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 248 10,152 0 10 Jul 2018
Diversity is All You Need: Learning Skills without a Reward Function Benjamin Eysenbach Abhishek Gupta Julian Ibarz Sergey Levine 80 1,075 0 16 Feb 2018
EX2: Exploration with Exemplar Models for Deep Reinforcement Learning Justin Fu John D. Co-Reyes Sergey Levine OffRL 52 155 0 03 Mar 2017
Variational Intrinsic Control Karol Gregor Danilo Jimenez Rezende Daan Wierstra DRL OffRL 55 427 0 22 Nov 2016
Unifying Count-Based Exploration and Intrinsic Motivation Marc G. Bellemare S. Srinivasan Georg Ostrovski Tom Schaul D. Saxton Rémi Munos 167 1,465 0 06 Jun 2016