A Survey of Exploration Methods in Reinforcement Learning

1 September 2021

Papers citing "A Survey of Exploration Methods in Reinforcement Learning"

50 / 53 papers shown

Title
A Graph-Based Reinforcement Learning Approach with Frontier Potential Based Reward for Safe Cluttered Environment Exploration Gabriele Calzolari Vidya Sumathy Christoforos Kanellakis G. Nikolakopoulos 100 0 0 16 Apr 2025
Sample-Efficient Reinforcement Learning with Temporal Logic Objectives: Leveraging the Task Specification to Guide Exploration Y. Kantaros Jun Wang 27 5 0 16 Oct 2024
Provably Efficient Exploration in Inverse Constrained Reinforcement Learning Bo Yue Jian Li Guiliang Liu 24 2 0 24 Sep 2024
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction Anthony GX-Chen Kenneth Marino Rob Fergus OCL 48 1 0 21 Aug 2024
Random Latent Exploration for Deep Reinforcement Learning Srinath Mahankali Zhang-Wei Hong Ayush Sekhari Alexander Rakhlin Pulkit Agrawal 33 3 0 18 Jul 2024
Exploration in Knowledge Transfer Utilizing Reinforcement Learning Adam Jedlicka Tatiana Valentine Guy 18 0 0 15 Jul 2024
Instance Temperature Knowledge Distillation Zhengbo Zhang Yuxi Zhou Jia Gong Jun Liu Zhigang Tu 19 2 0 27 Jun 2024
Diffusion Spectral Representation for Reinforcement Learning Dmitry Shribak Chen-Xiao Gao Yitong Li Chenjun Xiao Bo Dai DiffM 21 3 0 23 Jun 2024
Extremum-Seeking Action Selection for Accelerating Policy Optimization Ya-Chien Chang Sicun Gao 19 0 0 02 Apr 2024
Practice Makes Perfect: Planning to Learn Skill Parameter Policies Nishanth Kumar Tom Silver Willie McClinton Linfeng Zhao Stephen Proulx Tomás Lozano-Pérez L. Kaelbling Jennifer Barry 47 18 0 22 Feb 2024
Multi-Timescale Ensemble Q-learning for Markov Decision Process Policy Optimization Talha Bozkus Urbashi Mitra OffRL 11 5 0 08 Feb 2024
$R$\times$R: Rapid eXploration for Reinforcement Learning via Sampling-based Reset Distributions and Imitation Pre-training$ R $\times$ R: Rapid eXploration for Reinforcement Learning via Sampling-based Reset Distributions and Imitation Pre-training Gagan Khandate Tristan L. Saidi Siqi Shang Eric T. Chang Yang Liu Seth Matthew Dennis Johnson Adams M. Ciocarlie 37 4 0 27 Jan 2024
Identifying Policy Gradient Subspaces Jan Schneider-Barnes Pierre Schumacher Simon Guist Le Chen D. Haeufle Bernhard Scholkopf Dieter Buchler 26 5 0 12 Jan 2024
Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling Jakob J. Hollenstein Georg Martius J. Piater 14 3 0 18 Dec 2023
EduGym: An Environment and Notebook Suite for Reinforcement Learning Education Thomas M. Moerland Matthias Muller-Brockhausen Zhao Yang Andrius Bernatavicius Koen Ponse Tom Kouwenhoven Andreas Sauter Michiel van der Meer Bram M. Renting Aske Plaat OffRL 24 0 0 17 Nov 2023
PcLast: Discovering Plannable Continuous Latent States Anurag Koul Shivakanth Sujit Shaoru Chen Ben Evans Lili Wu ... Yonathan Efroni Lekan Molu Miro Dudik John Langford Alex Lamb OffRL BDL 19 1 0 06 Nov 2023
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias Max Sobol Mark Archit Sharma Fahim Tajwar Rafael Rafailov Sergey Levine Chelsea Finn OffRL OnRL 24 1 0 12 Oct 2023
RGBManip: Monocular Image-based Robotic Manipulation through Active Object Pose Estimation Boshi An Yiran Geng Kai-xiang Chen Xiaoqi Li Qi Dou Hao Dong 21 14 0 05 Oct 2023
Maximum diffusion reinforcement learning Thomas A. Berrueta Allison Pinosky Todd D. Murphey AI4CE DiffM 9 5 0 26 Sep 2023
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback Stephen Casper Xander Davies Claudia Shi T. Gilbert Jérémy Scheurer ... Erdem Biyik Anca Dragan David M. Krueger Dorsa Sadigh Dylan Hadfield-Menell ALM OffRL 34 470 0 27 Jul 2023
The Role of Diverse Replay for Generalisation in Reinforcement Learning Max Weltevrede M. Spaan Wendelin Bohmer OffRL 11 1 0 09 Jun 2023
A Cover Time Study of a non-Markovian Algorithm Guanhua Fang G. Samorodnitsky Zhiqiang Xu 18 0 0 08 Jun 2023
Successor-Predecessor Intrinsic Exploration Changmin Yu Neil Burgess M. Sahani S. Gershman 20 3 0 24 May 2023
MIMEx: Intrinsic Rewards from Masked Input Modeling Toru Lin Allan Jabri OffRL 16 6 0 15 May 2023
On the Importance of Exploration for Real Life Learned Algorithms Steffen Gracla C. Bockelmann Armin Dekorsy 8 0 0 21 Apr 2023
Graph Exploration for Effective Multi-agent Q-Learning Ainur Zhaikhan A. H. Sayed 24 1 0 19 Apr 2023
AutoRL Hyperparameter Landscapes Aditya Mohan C. Benjamins Konrad Wienecke A. Dockhorn Marius Lindauer 15 7 0 05 Apr 2023
Strategy Synthesis in Markov Decision Processes Under Limited Sampling Access C. Baier Clemens Dubslaff Patrick Wienhoft S. Kiebel 8 1 0 22 Mar 2023
Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement Learning Xutong Zhao Yangchen Pan Chenjun Xiao Sarath Chandar Janarthanan Rajendran 19 5 0 16 Mar 2023
Fast exploration and learning of latent graphs with aliased observations Miguel Lazaro-Gredilla Ishani Deshpande Siva K. Swaminathan Meet Dave Dileep George 18 3 0 13 Mar 2023
Sampling-based Exploration for Reinforcement Learning of Dexterous Manipulation Gagan Khandate Siqi Shang Eric Chang Tristan L. Saidi Yang Liu Seth Matthew Dennis Johnson Adams M. Ciocarlie 55 30 0 06 Mar 2023
SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding Yutong Wang Bairan Xiang Shinan Huang Guillaume Sartoretti 14 32 0 01 Mar 2023
Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems Félix Chalumeau Thomas Pierrot Valentin Macé Arthur Flajolet Karim Beguir Antoine Cully Nicolas Perrin-Gilbert 17 7 0 24 Nov 2022
Exploring through Random Curiosity with General Value Functions Aditya A. Ramesh Louis Kirsch Sjoerd van Steenkiste Jürgen Schmidhuber 19 9 0 18 Nov 2022
General Intelligence Requires Rethinking Exploration Minqi Jiang Tim Rocktaschel Edward Grefenstette LRM 27 17 0 15 Nov 2022
The Benefits of Model-Based Generalization in Reinforcement Learning K. Young Aditya A. Ramesh Louis Kirsch Jürgen Schmidhuber OffRL 20 12 0 04 Nov 2022
Active Exploration for Robotic Manipulation Tim Schneider Boris Belousov Georgia Chalvatzaki Diego Romeres Devesh K. Jha Jan Peters 15 10 0 23 Oct 2022
The Role of Exploration for Task Transfer in Reinforcement Learning Jonathan C. Balloch Julia Kim Jessica B. Langebrake Inman Mark O. Riedl OffRL 13 3 0 11 Oct 2022
Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States C. Banerjee Zhiyong Chen N. Noman 18 3 0 01 Oct 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 29 35 0 19 Sep 2022
Task-Agnostic Learning to Accomplish New Tasks Xianqi Zhang Xingtao Wang Xu Liu Wenrui Wang Xiaopeng Fan Debin Zhao OffRL 80 0 0 09 Sep 2022
Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control T. Kanazawa Haiyan Wang Chetan Gupta UQCV 9 4 0 27 Jul 2022
Guided Exploration in Reinforcement Learning via Monte Carlo Critic Optimization Igor Kuznetsov 18 2 0 25 Jun 2022
Towards Understanding How Machines Can Learn Causal Overhypotheses Eliza Kosoy David M. Chan Adrian Liu Jasmine Collins Bryanna Kaufmann Sandy Han Huang Jessica B. Hamrick John F. Canny Nan Rosemary Ke Alison Gopnik CML AI4CE 21 18 0 16 Jun 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
Complex behavior from intrinsic motivation to occupy action-state path space Jorge Ramírez-Ruiz D. Grytskyy Chiara Mastrogiuseppe Yamen Habib R. Moreno-Bote 22 7 0 20 May 2022
Accelerated Reinforcement Learning for Temporal Logic Control Objectives Y. Kantaros 11 11 0 09 May 2022
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 34 9 0 23 Feb 2022
Learning Causal Overhypotheses through Exploration in Children and Computational Models Eliza Kosoy Adrian Liu Jasmine Collins David M. Chan Jessica B. Hamrick Nan Rosemary Ke Sandy H Huang Bryanna Kaufmann John F. Canny Alison Gopnik CML 14 9 0 21 Feb 2022
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning Robert Kirk Amy Zhang Edward Grefenstette Tim Rocktaschel OffRL 17 154 0 18 Nov 2021