Exploration via Elliptical Episodic Bonuses

11 October 2022

Papers citing "Exploration via Elliptical Episodic Bonuses"

31 / 31 papers shown

Title
CAE: Repurposing the Critic as an Explorer in Deep Reinforcement Learning Yexin Li Pring Wong Hanfang Zhang Shuo Chen Siyuan Qi OffRL 49 0 0 23 Mar 2025
IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic Stefano Viel Luca Viano V. Cevher 74 0 0 27 Feb 2025
Episodic Novelty Through Temporal Distance Y. Jiang Qihan Liu Yiqin Yang Xiaoteng Ma Dianyu Zhong ... Jun Yang Bin Liang Bo Xu Chongjie Zhang Qianchuan Zhao OffRL 28 0 0 28 Jan 2025
Adaptive Data Exploitation in Deep Reinforcement Learning Mingqi Yuan Bo Li Xin Jin Wenjun Zeng OffRL 127 0 0 22 Jan 2025
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration Xingrui Yu Zhenglin Wan David Mark Bossens Yueming Lyu Qing-Wu Guo Ivor W. Tsang 91 0 0 11 Nov 2024
Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback Qinqing Zheng Mikael Henaff Amy Zhang Aditya Grover Brandon Amos LLMAG OffRL 29 3 0 30 Oct 2024
On the Modeling Capabilities of Large Language Models for Sequential Decision Making Martin Klissarov Devon Hjelm Alexander Toshev Bogdan Mazoure LM&Ro ELM OffRL LRM 29 2 0 08 Oct 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
Explore-Go: Leveraging Exploration for Generalisation in Deep Reinforcement Learning Max Weltevrede Felix Kaubek M. Spaan Wendelin Bohmer 37 0 0 12 Jun 2024
Massively Multiagent Minigames for Training Generalist Agents Kyoung Whan Choe Ryan Sullivan Joseph Suárez AI4CE 32 0 0 07 Jun 2024
Open-Endedness is Essential for Artificial Superhuman Intelligence Edward Hughes Michael Dennis Jack Parker-Holder Feryal M. P. Behbahani Aditi Mavalankar Yuge Shi Tom Schaul Tim Rocktaschel LRM 32 18 0 06 Jun 2024
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning Mingqi Yuan Roger Creus Castanyer Bo Li Xin Jin Glen Berseth Wenjun Zeng 29 0 0 29 May 2024
Provable Interactive Learning with Hindsight Instruction Feedback Dipendra Kumar Misra Aldo Pacchiano Rob Schapire 23 1 0 14 Apr 2024
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning Hyungho Na Yunkyeong Seo IL-Chul Moon 24 7 0 02 Mar 2024
Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning Michael T. Matthews Michael Beukman Benjamin Ellis Mikayel Samvelyan Matthew Jackson Samuel Coward Jakob Foerster OffRL 29 24 0 26 Feb 2024
Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning Maxime Toquebiau Nicolas Bredeche F. Benamar Jae-Yun Jun 15 1 0 06 Feb 2024
Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations Stefan Sylvius Wagner Stefan Harmeling 22 1 0 05 Feb 2024
Generalization to New Sequential Decision Making Tasks with In-Context Learning Sharath Chandra Raparthy Eric Hambro Robert Kirk Mikael Henaff Roberta Raileanu OffRL 100 21 0 06 Dec 2023
Improving Intrinsic Exploration by Creating Stationary Objectives Roger Creus Castanyer Javier Civera Taihú Pire OffRL 27 3 0 27 Oct 2023
Motif: Intrinsic Motivation from Artificial Intelligence Feedback Martin Klissarov P. DÓro Shagun Sodhani Roberta Raileanu Pierre-Luc Bacon Pascal Vincent Amy Zhang Mikael Henaff LRM LLMAG 16 54 0 29 Sep 2023
Cyclophobic Reinforcement Learning Stefan Sylvius Wagner P. Arndt Jan Robine Stefan Harmeling 11 1 0 30 Aug 2023
LuckyMera: a Modular AI Framework for Building Hybrid NetHack Agents Luigi Quarantiello Simone Marzeddu Antonio Guzzi Vincenzo Lomonaco 14 0 0 17 Jul 2023
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs Mikael Henaff Minqi Jiang Roberta Raileanu 22 13 0 05 Jun 2023
ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages Andrew Jesson Chris Xiaoxuan Lu Gunshi Gupta Angelos Filos Jakob N. Foerster Y. Gal OffRL 12 5 0 02 Jun 2023
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments Daniel Jarrett Corentin Tallec Florent Altché Thomas Mesnard Rémi Munos Michal Valko 27 5 0 18 Nov 2022
General Intelligence Requires Rethinking Exploration Minqi Jiang Tim Rocktaschel Edward Grefenstette LRM 22 17 0 15 Nov 2022
Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories Qinqing Zheng Mikael Henaff Brandon Amos Aditya Grover OffRL 13 20 0 12 Oct 2022
Improving Intrinsic Exploration with Language Abstractions Jesse Mu Victor Zhong Roberta Raileanu Minqi Jiang Noah D. Goodman Tim Rocktaschel Edward Grefenstette 95 63 0 17 Feb 2022
Anti-Concentrated Confidence Bonuses for Scalable Exploration Jordan T. Ash Cyril Zhang Surbhi Goel A. Krishnamurthy Sham Kakade 22 6 0 21 Oct 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research Mikayel Samvelyan Robert Kirk Vitaly Kurin Jack Parker-Holder Minqi Jiang Eric Hambro Fabio Petroni Heinrich Küttler Edward Grefenstette Tim Rocktaschel OffRL 226 89 0 27 Sep 2021
SAPIEN: A SimulAted Part-based Interactive ENvironment Fanbo Xiang Yuzhe Qin Kaichun Mo Yikuan Xia Hao Zhu ... He-Nan Wang Li Yi Angel X. Chang Leonidas J. Guibas Hao Su 204 485 0 19 Mar 2020