Curiosity-driven Exploration by Self-supervised Prediction

15 May 2017

Papers citing "Curiosity-driven Exploration by Self-supervised Prediction"

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Title
Did I do that? Blame as a means to identify controlled effects in reinforcement learning Oriol Corcoll Youssef Mohamed Raul Vicente 24 3 0 01 Jun 2021
Curiosity-driven Intuitive Physics Learning T. Gaikwad Romi Banerjee AI4CE 19 0 0 16 May 2021
Principled Exploration via Optimistic Bootstrapping and Backward Induction Chenjia Bai Lingxiao Wang Lei Han Jianye Hao Animesh Garg Peng Liu Zhaoran Wang OffRL 23 38 0 13 May 2021
Robotic Surgery With Lean Reinforcement Learning Yotam Barnoy Molly O'Brien Wenjie Wang Gregory D. Hager OffRL 46 20 0 03 May 2021
SocialAI 0.1: Towards a Benchmark to Stimulate Research on Socio-Cognitive Abilities in Deep Reinforcement Learning Agents Grgur Kovač Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer ALM LM&Ro 28 2 0 27 Apr 2021
Understanding and Avoiding AI Failures: A Practical Guide R. M. Williams Roman V. Yampolskiy 35 24 0 22 Apr 2021
Rapid Exploration for Open-World Navigation with Latent Goal Models Dhruv Shah Benjamin Eysenbach G. Kahn Nicholas Rhinehart Sergey Levine 32 70 0 12 Apr 2021
Deep Time Series Forecasting with Shape and Temporal Criteria Vincent Le Guen Nicolas Thome AI4TS 35 27 0 09 Apr 2021
Auxiliary Tasks and Exploration Enable ObjectNav Joel Ye Dhruv Batra Abhishek Das Erik Wijmans 34 91 0 08 Apr 2021
Augmenting Automated Game Testing with Deep Reinforcement Learning Joakim Bergdahl Camilo Gordillo Konrad Tollmar Linus Gisslén OffRL 22 69 0 29 Mar 2021
Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents Camilo Gordillo Joakim Bergdahl Konrad Tollmar Linus Gisslén OnRL 28 42 0 25 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 24 18 0 21 Mar 2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL Clément Romac Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer 27 21 0 17 Mar 2021
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks Zhou Xian Shamit Lal H. Tung Emmanouil Antonios Platanios Katerina Fragkiadaki AI4CE 33 23 0 17 Mar 2021
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model Thanh Nguyen Tung M. Luu Thang Vu Chang D. Yoo 23 17 0 15 Mar 2021
An Information-Theoretic Perspective on Credit Assignment in Reinforcement Learning Dilip Arumugam Peter Henderson Pierre-Luc Bacon 24 17 0 10 Mar 2021
Self-Supervised Online Reward Shaping in Sparse-Reward Environments F. Memarian Wonjoon Goo Rudolf Lioutikov S. Niekum Ufuk Topcu OffRL 36 48 0 08 Mar 2021
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning Victor Campos Pablo Sprechmann Steven Hansen André Barreto Steven Kapturowski Alex Vitvitskyi Adria Puigdomenech Badia Charles Blundell OffRL OnRL 43 25 0 24 Feb 2021
Model-free Representation Learning and Exploration in Low-rank MDPs Aditya Modi Jinglin Chen A. Krishnamurthy Nan Jiang Alekh Agarwal OffRL 102 78 0 14 Feb 2021
Online Limited Memory Neural-Linear Bandits with Likelihood Matching Ofir Nabati Tom Zahavy Shie Mannor 27 18 0 07 Feb 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 16 520 0 04 Feb 2021
Decoupled Exploration and Exploitation Policies for Sample-Efficient Reinforcement Learning William F. Whitney Michael Bloesch Jost Tobias Springenberg A. Abdolmaleki Kyunghyun Cho Martin Riedmiller OffRL 29 13 0 23 Jan 2021
Asymmetric self-play for automatic goal discovery in robotic manipulation OpenAI OpenAI Matthias Plappert Raul Sampedro Tao Xu Ilge Akkaya ... Hyeonwoo Noh Lilian Weng Qiming Yuan Casey Chu Wojciech Zaremba SSL 82 76 0 13 Jan 2021
Learn Dynamic-Aware State Embedding for Transfer Learning Kaige Yang 18 1 0 06 Jan 2021
Geometric Entropic Exploration Z. Guo M. G. Azar Alaa Saade S. Thakoor Bilal Piot Bernardo Avila-Pires Michal Valko Thomas Mesnard Tor Lattimore Rémi Munos 38 30 0 06 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 40 2 0 04 Jan 2021
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control Liwen Zhu Peixi Peng Zongqing Lu Xiangqian Wang Yonghong Tian 24 20 0 04 Jan 2021
Embodied Visual Active Learning for Semantic Segmentation David Nilsson Aleksis Pirinen Erik Gartner C. Sminchisescu 42 35 0 17 Dec 2020
BeBold: Exploration Beyond the Boundary of Explored Regions Tianjun Zhang Huazhe Xu Xiaolong Wang Yi Wu Kurt Keutzer Joseph E. Gonzalez Yuandong Tian 36 40 0 15 Dec 2020
Grounding Artificial Intelligence in the Origins of Human Behavior Eleni Nisioti Clément Moulin-Frier AI4CE 47 5 0 15 Dec 2020
Robust Multi-Agent Reinforcement Learning with Social Empowerment for Coordination and Communication T. V. D. Heiden Christoph Salge E. Gavves H. V. Hoof 18 9 0 15 Dec 2020
Intrinsically Motivated Compositional Language Emergence Rishi Hazra Sonu Dixit Sayambhu Sen 11 1 0 09 Dec 2020
Sensorimotor representation learning for an "active self" in robots: A model survey Phuong D. H. Nguyen Yasmin Kim Georgie E. Kayhan Manfred Eppe Verena V. Hafner S. Wermter 19 16 0 25 Nov 2020
Learning Synthetic to Real Transfer for Localization and Navigational Tasks Maxime Pietrantoni Boris Chidlovskii T. Silander 22 0 0 20 Nov 2020
Meta Automatic Curriculum Learning Rémy Portelas Clément Romac Katja Hofmann Pierre-Yves Oudeyer 35 8 0 16 Nov 2020
PLAS: Latent Action Space for Offline Reinforcement Learning Wenxuan Zhou Sujay Bajracharya David Held OffRL 38 158 0 14 Nov 2020
Robotic self-representation improves manipulation skills and transfer learning Phuong D. H. Nguyen Manfred Eppe S. Wermter SSL 18 1 0 13 Nov 2020
Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks Pierre Aumjaud David McAuliffe Francisco J. Rodríguez-Lera P. Cardiff 19 15 0 11 Nov 2020
Proximal Policy Optimization via Enhanced Exploration Efficiency Junwei Zhang Zhenghao Zhang Shuai Han Shuai Lu 34 41 0 11 Nov 2020
Continual Learning of Control Primitives: Skill Discovery via Reset-Games Kelvin Xu Siddharth Verma Chelsea Finn Sergey Levine CLL 33 33 0 10 Nov 2020
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping Yujing Hu Weixun Wang Hangtian Jia Yixiang Wang Yingfeng Chen Jianye Hao Feng Wu Changjie Fan OffRL 22 173 0 05 Nov 2020
TAMPC: A Controller for Escaping Traps in Novel Environments Sheng Zhong Zhenyuan Zhang Nima Fazeli Dmitry Berenson 31 7 0 23 Oct 2020
Imitation with Neural Density Models Kuno Kim Akshat Jindal Yang Song Jiaming Song Yanan Sui Stefano Ermon 41 12 0 19 Oct 2020
Federated Unsupervised Representation Learning Fengda Zhang Kun Kuang Zhaoyang You T. Shen Jun Xiao Yin Zhang Chao-Xiang Wu Yueting Zhuang Xiaolin Li FedML 28 135 0 18 Oct 2020
Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity Vincent Le Guen Nicolas Thome AI4TS 23 26 0 14 Oct 2020
Learning Intrinsic Symbolic Rewards in Reinforcement Learning Hassam Sheikh Shauharda Khadka Santiago Miret Somdeb Majumdar OffRL 29 7 0 08 Oct 2020
Online Safety Assurance for Deep Reinforcement Learning Noga H. Rotman Michael Schapira Aviv Tamar OffRL 38 5 0 07 Oct 2020
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning Sumedh Anand Sontakke Arash Mehrjou Laurent Itti Bernhard Schölkopf CML 25 60 0 07 Oct 2020
Latent World Models For Intrinsically Motivated Exploration Aleksandr Ermolov N. Sebe 29 25 0 05 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 53 823 0 05 Oct 2020