Count-Based Exploration in Feature Space for Reinforcement Learning

25 June 2017

Marcus Hutter

Papers citing "Count-Based Exploration in Feature Space for Reinforcement Learning"

26 / 26 papers shown

Title
Imagine, Verify, Execute: Memory-Guided Agentic Exploration with Vision-Language Models Seungjae Lee Daniel Ekpo Haowen Liu Furong Huang Abhinav Shrivastava Jia-Bin Huang LM&Ro 40 0 0 12 May 2025
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning Haozhe Ma Zhengding Luo Thanh Vinh Vo Kuankuan Sima Tze-Yun Leong 29 5 0 06 Aug 2024
Robust Q-Learning for finite ambiguity sets Cécile Decker Julian Sester 30 0 0 05 Jul 2024
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning Mingqi Yuan Roger Creus Castanyer Bo Li Xin Jin Glen Berseth Wenjun Zeng 34 0 0 29 May 2024
Self-supervised network distillation: an effective approach to exploration in sparse reward environments Matej Pecháč M. Chovanec Igor Farkaš 24 3 0 22 Feb 2023
Selective Uncertainty Propagation in Offline RL Sanath Kumar Krishnamurthy Shrey Modi Tanmay Gangwani S. Katariya B. Kveton A. Rangi OffRL 59 0 0 01 Feb 2023
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning Mingqi Yuan Bo Li Xin Jin Wenjun Zeng OffRL 24 7 0 26 Jan 2023
Foundation Models for Semantic Novelty in Reinforcement Learning Tarun Gupta Peter Karkus Tong Che Danfei Xu Marco Pavone VLM OffRL LRM 39 7 0 09 Nov 2022
Exploration via Elliptical Episodic Bonuses Mikael Henaff Roberta Raileanu Minqi Jiang Tim Rocktaschel OffRL 29 39 0 11 Oct 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 31 35 0 19 Sep 2022
Rewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning Mingqi Yuan Bo Li Xin Jin Wenjun Zeng 26 12 0 19 Sep 2022
Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning C. Steinparz Thomas Schmied Fabian Paischer Marius-Constantin Dinu Vihang Patil Angela Bitto-Nemling Hamid Eghbalzadeh Sepp Hochreiter CLL 24 11 0 12 Jul 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 26 18 0 16 Jun 2022
Nuclear Norm Maximization Based Curiosity-Driven Learning Chao Chen Zijian Gao Kele Xu Sen Yang Yiying Li Bo Ding Dawei Feng Huaimin Wang 131 5 0 21 May 2022
Exploration in Deep Reinforcement Learning: A Survey Pawel Ladosz Lilian Weng Minwoo Kim H. Oh OffRL 23 323 0 02 May 2022
Semantic Exploration from Language Abstractions and Pretrained Representations Allison C. Tam Neil C. Rabinowitz Andrew Kyle Lampinen Nicholas A. Roy Stephanie C. Y. Chan D. Strouse Jane X. Wang Andrea Banino Felix Hill LM&Ro 30 67 0 08 Apr 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 22 9 0 21 Feb 2022
Anti-Concentrated Confidence Bonuses for Scalable Exploration Jordan T. Ash Cyril Zhang Surbhi Goel A. Krishnamurthy Sham Kakade 35 6 0 21 Oct 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 33 92 0 14 Sep 2021
A Survey of Exploration Methods in Reinforcement Learning Susan Amin Maziar Gomrokchi Harsh Satija H. V. Hoof Doina Precup OffRL 16 80 0 01 Sep 2021
The Benchmark Lottery Mostafa Dehghani Yi Tay A. Gritsenko Zhe Zhao N. Houlsby Fernando Diaz Donald Metzler Oriol Vinyals 39 89 0 14 Jul 2021
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 38 348 0 27 Apr 2020
Deep Policies for Width-Based Planning in Pixel Domains Miquel Junyent Anders Jonsson Vicencc Gómez 28 10 0 12 Apr 2019
Malthusian Reinforcement Learning Joel Z. Leibo Julien Perolat Edward Hughes S. Wheelwright Adam H. Marblestone Edgar A. Duénez-Guzmán P. Sunehag Iain Dunning T. Graepel AI4CE 14 37 0 17 Dec 2018
Exploration Bonus for Regret Minimization in Undiscounted Discrete and Continuous Markov Decision Processes Jian Qian Ronan Fruit Matteo Pirotta A. Lazaric 6 10 0 11 Dec 2018
Universal Reinforcement Learning Algorithms: Survey and Experiments John Aslanides Jan Leike Marcus Hutter OffRL 26 19 0 30 May 2017