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Episodic Curiosity through Reachability

4 October 2018

Marc Pollefeys

Papers citing "Episodic Curiosity through Reachability"

50 / 98 papers shown

Title
Uncertainty Prioritized Experience Replay Rodrigo Carrasco-Davis Sebastian Lee Claudia Clopath Will Dabney 34 0 0 10 Jun 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 105 1 0 28 Jan 2025
Human-inspired Perspectives: A Survey on AI Long-term Memory Zihong He Weizhe Lin Hao Zheng Fan Zhang Matt Jones Laurence Aitchison X. Xu Miao Liu Per Ola Kristensson Junxiao Shen 246 3 0 01 Nov 2024
Prioritized Generative Replay Renhao Wang Kevin Frans Pieter Abbeel Sergey Levine Alexei A. Efros OnRL DiffM 190 7 0 23 Oct 2024
Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control Devdhar Patel H. Siegelmann OffRL 120 0 0 11 Oct 2024
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning Mingqi Yuan Roger Creus Castanyer Bo Li Xin Jin Glen Berseth Wenjun Zeng 176 0 0 29 May 2024
Enhancing End-to-End Multi-Task Dialogue Systems: A Study on Intrinsic Motivation Reinforcement Learning Algorithms for Improved Training and Adaptability Navin Kamuni Hardik Shah Sathishkumar Chintala Naveen Kunchakuri Sujatha Alla Old Dominion 82 19 0 31 Jan 2024
Efficient Q-Learning over Visit Frequency Maps for Multi-agent Exploration of Unknown Environments Xuyang Chen Ashvin Iyer Zixing Wang A. H. Qureshi 68 4 0 30 Jul 2023
Goal-Conditioned Reinforcement Learning with Disentanglement-based Reachability Planning Zhifeng Qian Mingyu You Hongjun Zhou Xuanhui Xu Bin He 62 3 0 20 Jul 2023
An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options Framework JaeYoon Kim Junyu Xuan Christy Jie Liang F. Hussain 144 1 0 02 May 2023
Intrinsic Motivation in Model-based Reinforcement Learning: A Brief Review Artem Latyshev Aleksandr I. Panov 74 1 0 24 Jan 2023
Time-Myopic Go-Explore: Learning A State Representation for the Go-Explore Paradigm Marc Höftmann Jan Robine Stefan Harmeling AI4TS 57 1 0 13 Jan 2023
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration Chao Yu Xinyi Yang Jiaxuan Gao Jiayu Chen Yunfei Li ... Yunfei Xiang Rui Huang Huazhong Yang Yi Wu Yu Wang 68 38 0 09 Jan 2023
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping Lina Mezghani Sainbayar Sukhbaatar Piotr Bojanowski A. Lazaric Alahari Karteek OffRL 132 19 0 05 Jan 2023
Navigating to Objects in the Real World Théophile Gervet Soumith Chintala Dhruv Batra Jitendra Malik Devendra Singh Chaplot 95 133 0 02 Dec 2022
Reachability-Aware Laplacian Representation in Reinforcement Learning Kaixin Wang Kuangqi Zhou Jiashi Feng Bryan Hooi Xinchao Wang 77 5 0 24 Oct 2022
Retrospectives on the Embodied AI Workshop Matt Deitke Dhruv Batra Yonatan Bisk Tommaso Campari Angel X. Chang ... Jesse Thomason Alexander Toshev Joanne Truong Luca Weihs Jiajun Wu LM&Ro 122 51 0 13 Oct 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 96 37 0 19 Sep 2022
Temporal Flow Mask Attention for Open-Set Long-Tailed Recognition of Wild Animals in Camera-Trap Images Jeongsoo Kim Sangmin Woo Byeongjun Park Changick Kim 47 2 0 31 Aug 2022
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review N. Botteghi M. Poel C. Brune SSL OffRL 101 13 0 27 Aug 2022
Walk the Random Walk: Learning to Discover and Reach Goals Without Supervision Lina Mezghani Sainbayar Sukhbaatar Piotr Bojanowski Alahari Karteek 61 4 0 23 Jun 2022
Case-Based Inverse Reinforcement Learning Using Temporal Coherence Jonas Nüßlein Steffen Illium Robert Muller Thomas Gabor Claudia Linnhoff-Popien 61 1 0 12 Jun 2022
GraphMapper: Efficient Visual Navigation by Scene Graph Generation Zachary Seymour Niluthpol Chowdhury Mithun Han-Pang Chiu S. Samarasekera Rakesh Kumar 101 8 0 17 May 2022
Asking for Knowledge: Training RL Agents to Query External Knowledge Using Language Iou-Jen Liu Xingdi Yuan Marc-Alexandre Côté Pierre-Yves Oudeyer Alex Schwing RALM 81 12 0 12 May 2022
Exploration in Deep Reinforcement Learning: A Survey Pawel Ladosz Lilian Weng Minwoo Kim H. Oh OffRL 93 365 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 132 70 0 08 Apr 2022
Off-Policy Evaluation with Online Adaptation for Robot Exploration in Challenging Environments Yafei Hu Junyi Geng Chen Wang John Keller Sebastian Scherer OffRL 102 15 0 07 Apr 2022
Aggressive Quadrotor Flight Using Curiosity-Driven Reinforcement Learning Q. Sun Jinbao Fang Weixing Zheng Yang Tang 47 30 0 26 Mar 2022
Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share? Alain Andres Esther Villar-Rodriguez Javier Del Ser 73 9 0 24 Feb 2022
Navigating to Objects in Unseen Environments by Distance Prediction Minzhao Zhu Binglei Zhao Tao Kong 59 33 0 08 Feb 2022
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning Christopher Hoang Sungryull Sohn Jongwook Choi Wilka Carvalho Honglak Lee 74 32 0 18 Nov 2021
Shaping embodied agent behavior with activity-context priors from egocentric video Tushar Nagarajan Kristen Grauman EgoV LM&Ro 132 15 0 14 Oct 2021
Learning Efficient Multi-Agent Cooperative Visual Exploration Chao Yu Xinyi Yang Jiaxuan Gao Huazhong Yang Yu Wang Yi Wu 69 30 0 12 Oct 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey Amjad Yousef Majid Serge Saaybi Tomas van Rietbergen Vincent François-Lavet R. V. Prasad Chris Verhoeven OffRL 135 60 0 28 Sep 2021
Long-Term Exploration in Persistent MDPs L. Ugadiarov Alexey Skrynnik Aleksandr I. Panov 64 2 0 21 Sep 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 86 103 0 14 Sep 2021
SASRA: Semantically-aware Spatio-temporal Reasoning Agent for Vision-and-Language Navigation in Continuous Environments Muhammad Zubair Irshad Niluthpol Chowdhury Mithun Zachary Seymour Han-Pang Chiu S. Samarasekera Rakesh Kumar LM&Ro 84 51 0 26 Aug 2021
Multimodal Reward Shaping for Efficient Exploration in Reinforcement Learning Mingqi Yuan Mon-on Pun Dong Wang Yi Chen Haojun Li 32 7 0 19 Jul 2021
Megaverse: Simulating Embodied Agents at One Million Experiences per Second Aleksei Petrenko Erik Wijmans Brennan Shacklett V. Koltun LM&Ro VGen 88 24 0 17 Jul 2021
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks Sungryull Sohn Sungtae Lee Jongwook Choi H. V. Seijen Mehdi Fatemi Honglak Lee 321 5 0 13 Jul 2021
SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents Grgur Kovač Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer ALM 88 6 0 02 Jul 2021
RobustNav: Towards Benchmarking Robustness in Embodied Navigation Prithvijit Chattopadhyay Judy Hoffman Roozbeh Mottaghi Aniruddha Kembhavi 84 55 0 08 Jun 2021
DisTop: Discovering a Topological representation to learn diverse and rewarding skills A. Aubret L. Matignon S. Hassas 68 12 0 06 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 68 40 0 13 May 2021
Rapid Exploration for Open-World Navigation with Latent Goal Models Dhruv Shah Benjamin Eysenbach G. Kahn Nicholas Rhinehart Sergey Levine 137 75 0 12 Apr 2021
Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration Jaekyeom Kim Minjung Kim Dongyeon Woo Gunhee Kim 69 17 0 23 Mar 2021
MaAST: Map Attention with Semantic Transformersfor Efficient Visual Navigation Zachary Seymour Kowshik Thopalli Niluthpol Chowdhury Mithun Han-Pang Chiu S. Samarasekera Rakesh Kumar 3DPC 69 18 0 21 Mar 2021
A Survey of Embodied AI: From Simulators to Research Tasks Jiafei Duan Samson Yu Tangyao Li Huaiyu Zhu Cheston Tan LM&Ro 118 296 0 08 Mar 2021
PLGRIM: Hierarchical Value Learning for Large-scale Exploration in Unknown Environments Sung-Kyun Kim Amanda Bouman G. Salhotra David D. Fan K. Otsu J. W. Burdick Ali-akbar Agha-mohammadi 69 49 0 10 Feb 2021
Exploring Beyond-Demonstrator via Meta Learning-Based Reward Extrapolation Mingqi Yuan Man-On Pun 28 0 0 04 Feb 2021