GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms

14 February 2018

Papers citing "GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms"

34 / 34 papers shown

Title
ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control Ehsan Futuhi Shayan Karimi Chao Gao Martin Müller 38 1 0 07 Oct 2024
World Models with Hints of Large Language Models for Goal Achieving Zeyuan Liu Ziyu Huan Xiyao Wang Jiafei Lyu Jian Tao Xiu Li Furong Huang Huazhe Xu LM&Ro LRM AI4CE 46 1 0 11 Jun 2024
An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks Antonin Raffin Olivier Sigaud Jens Kober Alin Albu-Schäffer João Silvério F. Stulp 32 2 0 09 Oct 2023
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse Jiafei Lyu Le Wan Zongqing Lu Xiu Li OffRL 28 9 0 29 May 2023
Supplementing Gradient-Based Reinforcement Learning with Simple Evolutionary Ideas H. Khadilkar 19 0 0 10 May 2023
Evolving Populations of Diverse RL Agents with MAP-Elites Thomas Pierrot Arthur Flajolet 30 8 0 09 Mar 2023
Improving Deep Policy Gradients with Value Function Search Enrico Marchesini Chris Amato 18 9 0 20 Feb 2023
Guiding Pretraining in Reinforcement Learning with Large Language Models Yuqing Du Olivia Watkins Zihan Wang Cédric Colas Trevor Darrell Pieter Abbeel Abhishek Gupta Jacob Andreas LM&Ro 21 174 0 13 Feb 2023
A Transferable and Automatic Tuning of Deep Reinforcement Learning for Cost Effective Phishing Detection Orel Lavie A. Shabtai Gilad Katz AAML OffRL 17 1 0 19 Sep 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 31 17 0 08 Jun 2022
Asking for Knowledge: Training RL Agents to Query External Knowledge Using Language Iou-Jen Liu Xingdi Yuan Marc-Alexandre Côté Pierre-Yves Oudeyer A. Schwing RALM 19 12 0 12 May 2022
Exploration in Deep Reinforcement Learning: A Survey Pawel Ladosz Lilian Weng Minwoo Kim H. Oh OffRL 23 324 0 02 May 2022
A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles Jingyi Xu Zirui Li Li Gao Junyi Ma Qi Liu Yanan Zhao 20 13 0 22 Feb 2022
Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning Bryon Tjanaka Matthew C. Fontaine Julian Togelius Stefanos Nikolaidis 30 50 0 08 Feb 2022
A Survey of Exploration Methods in Reinforcement Learning Susan Amin Maziar Gomrokchi Harsh Satija H. V. Hoof Doina Precup OffRL 21 80 0 01 Sep 2021
Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning Iou-Jen Liu Zhongzheng Ren Raymond A. Yeh A. Schwing 27 15 0 06 Aug 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning Iou-Jen Liu Unnat Jain Raymond A. Yeh A. Schwing 33 104 0 23 Jul 2021
Offline Meta-Reinforcement Learning with Online Self-Supervision Vitchyr H. Pong Ashvin Nair Laura M. Smith Catherine Huang Sergey Levine OffRL 32 66 0 08 Jul 2021
BeBold: Exploration Beyond the Boundary of Explored Regions Tianjun Zhang Huazhe Xu Xiaolong Wang Yi Wu Kurt Keutzer Joseph E. Gonzalez Yuandong Tian 28 40 0 15 Dec 2020
Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning Research J. Obando-Ceron Pablo Samuel Castro OffRL 9 105 0 20 Nov 2020
Scaling MAP-Elites to Deep Neuroevolution Cédric Colas Joost Huizinga Vashisht Madhavan Jeff Clune 30 86 0 03 Mar 2020
Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration Anji Liu Yitao Liang Guy Van den Broeck OffRL 12 3 0 25 Feb 2020
Multi-Path Policy Optimization L. Pan Qingpeng Cai Longbo Huang 18 2 0 11 Nov 2019
Unsupervised Learning and Exploration of Reachable Outcome Space Giuseppe Paolo Alban Laflaquière Alexandre Coninx Stéphane Doncieux 16 36 0 12 Sep 2019
Exploration via Hindsight Goal Generation Zhizhou Ren Kefan Dong Yuanshuo Zhou Qiang Liu Jian-wei Peng 27 84 0 10 Jun 2019
Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains Matthieu Zimmer Paul Weng 11 7 0 10 Jun 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning Vitchyr H. Pong Murtaza Dalal Steven Lin Ashvin Nair Shikhar Bahl Sergey Levine OffRL SSL 28 269 0 08 Mar 2019
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning Cédric Colas Pierre Fournier Olivier Sigaud Mohamed Chetouani Pierre-Yves Oudeyer 19 39 0 15 Oct 2018
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks Fabio Pardo Vitaly Levdik Petar Kormushev 19 4 0 06 Oct 2018
CEM-RL: Combining evolutionary and gradient-based methods for policy search Aloïs Pourchot Olivier Sigaud 22 159 0 02 Oct 2018
Switching Isotropic and Directional Exploration with Parameter Space Noise in Deep Reinforcement Learning Izumi Karino Kazutoshi Tanaka Ryuma Niiyama Y. Kuniyoshi 14 3 0 18 Sep 2018
Curiosity Driven Exploration of Learned Disentangled Goal Spaces A. Laversanne-Finot Alexandre Péré Pierre-Yves Oudeyer DRL 19 87 0 04 Jul 2018
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards Rituraj Kaushik Konstantinos Chatzilygeroudis Jean-Baptiste Mouret 15 19 0 25 Jun 2018
Computational Theories of Curiosity-Driven Learning Pierre-Yves Oudeyer 16 64 0 28 Feb 2018