Curiosity-driven Exploration by Self-supervised Prediction

15 May 2017

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

50 / 1,353 papers shown

Title
Epistemic Risk-Sensitive Reinforcement Learning Hannes Eriksson Christos Dimitrakakis 127 29 0 14 Jun 2019
Efficient Exploration via State Marginal Matching Lisa Lee Benjamin Eysenbach Emilio Parisotto Eric Xing Sergey Levine Ruslan Salakhutdinov 147 248 0 12 Jun 2019
Fast Task Inference with Variational Intrinsic Successor Features Steven Hansen Will Dabney André Barreto T. Wiele David Warde-Farley Volodymyr Mnih BDL 103 152 0 12 Jun 2019
Generative Adversarial Networks are Special Cases of Artificial Curiosity (1990) and also Closely Related to Predictability Minimization (1991) J. Schmidhuber GAN DRL 110 57 0 11 Jun 2019
Weight Agnostic Neural Networks Adam Gaier David R Ha OOD 72 242 0 11 Jun 2019
Online Object Representations with Contrastive Learning Soren Pirk Mohi Khansari Yunfei Bai Corey Lynch P. Sermanet SSL 72 35 0 10 Jun 2019
Self-Supervised Exploration via Disagreement Deepak Pathak Dhiraj Gandhi Abhinav Gupta SSL 85 385 0 10 Jun 2019
Curiosity-Driven Multi-Criteria Hindsight Experience Replay John Lanier Stephen Marcus McAleer Pierre Baldi OffRL 78 25 0 09 Jun 2019
Clustered Reinforcement Learning Xiao Ma Shen-Yi Zhao Wu-Jun Li OffRL 64 6 0 06 Jun 2019
Exploration with Unreliable Intrinsic Reward in Multi-Agent Reinforcement Learning Wendelin Bohmer Tabish Rashid Shimon Whiteson 44 24 0 05 Jun 2019
Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction Alban Laflaquière Michael Garcia Ortiz 33 6 0 04 Jun 2019
Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning Yang Liu Yunan Luo Yuanyi Zhong Xi Chen Qiang Liu Jian-wei Peng 74 36 0 31 May 2019
Learning Navigation Subroutines from Egocentric Videos Ashish Kumar Saurabh Gupta Jitendra Malik SSL EgoV 85 13 0 29 May 2019
Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning Shariq Iqbal Fei Sha 78 49 0 28 May 2019
Competitive Gradient Descent Florian Schäfer Anima Anandkumar 97 102 0 28 May 2019
Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy Ruihan Yang Qiwei Ye Tie-Yan Liu 38 0 0 28 May 2019
Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning Caleb Chuck Supawit Chockchowwat S. Niekum 67 14 0 27 May 2019
Learning latent state representation for speeding up exploration Giulia Vezzani Abhishek Gupta Lorenzo Natale Pieter Abbeel 63 28 0 27 May 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence Jeff Clune 148 122 0 27 May 2019
Adaptive Symmetric Reward Noising for Reinforcement Learning R. Vivanti Talya D. Sohlberg-Baris Shlomo Cohen Orna Cohen AAML 23 1 0 24 May 2019
Flow-based Intrinsic Curiosity Module Hsuan-Kung Yang Po-Han Chiang Min-Fong Hong Chun-Yi Lee 39 4 0 24 May 2019
Combine PPO with NES to Improve Exploration Lianjiang Li Yunrong Yang Bingna Li 16 1 0 23 May 2019
COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration Nicholas Watters Loic Matthey Matko Bosnjak Christopher P. Burgess Alexander Lerchner OffRL 127 118 0 22 May 2019
Reinforcement Learning without Ground-Truth State Xingyu Lin H. Baweja David Held OffRL SSL 87 24 0 20 May 2019
Combining Experience Replay with Exploration by Random Network Distillation Francesco Sovrano 61 15 0 18 May 2019
SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation Daniel Gordon Abhishek Kadian Devi Parikh Judy Hoffman Dhruv Batra 90 75 0 18 May 2019
Leveraging exploration in off-policy algorithms via normalizing flows Bogdan Mazoure T. Doan A. Durand R. Devon Hjelm Joelle Pineau OnRL 70 62 0 16 May 2019
Differentiable Game Mechanics Alistair Letcher David Balduzzi S. Racanière James Martens Jakob N. Foerster K. Tuyls T. Graepel 90 81 0 13 May 2019
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning Yilun Du Karthik Narasimhan 89 33 0 13 May 2019
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards Yuhang Song Jianyi Wang Thomas Lukasiewicz Zhenghua Xu Shangtong Zhang Andrzej Wojcicki Mai Xu LRM 87 15 0 12 May 2019
Graph Attention Memory for Visual Navigation Dong Li Qichao Zhang Dongbin Zhao Yuzheng Zhuang Bin Wang Wulong Liu Rasul Tutunov Jun Wang 65 16 0 11 May 2019
Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning Muhammad Burhan Hafez C. Weber Matthias Kerzel S. Wermter 32 10 0 05 May 2019
Meta-learners' learning dynamics are unlike learners' Neil C. Rabinowitz OffRL 88 16 0 03 May 2019
Collaborative Evolutionary Reinforcement Learning Shauharda Khadka Somdeb Majumdar Tarek Nassar Zach Dwiel E. Tumer Santiago Miret Yinyin Liu Kagan Tumer 66 100 0 02 May 2019
Generative Exploration and Exploitation Jiechuan Jiang Zongqing Lu 39 6 0 21 Apr 2019
Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition Chao Gao Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor 61 17 0 20 Apr 2019
Object-Oriented Dynamics Learning through Multi-Level Abstraction Guangxiang Zhu Jianhao Wang Zhizhou Ren Zichuan Lin Chongjie Zhang AI4CE 80 5 0 16 Apr 2019
Curious iLQR: Resolving Uncertainty in Model-based RL Sarah Bechtle Yixin Lin Akshara Rai Ludovic Righetti Franziska Meier 65 34 0 15 Apr 2019
A Short Survey On Memory Based Reinforcement Learning Dhruv Ramani OffRL 71 17 0 14 Apr 2019
Reinforced Imitation in Heterogeneous Action Space Konrad Zolna Negar Rostamzadeh Yoshua Bengio Sungjin Ahn Pedro H. O. Pinheiro 76 11 0 06 Apr 2019
Risk Averse Robust Adversarial Reinforcement Learning Xinlei Pan Daniel Seita Yang Gao John F. Canny AAML 79 98 0 31 Mar 2019
Learning Good Representation via Continuous Attention Liang Zhao Wenyuan Xu 20 0 0 29 Mar 2019
Autoregressive Policies for Continuous Control Deep Reinforcement Learning D. Korenkevych A. R. Mahmood Gautham Vasan James Bergstra 79 28 0 27 Mar 2019
Using RGB Image as Visual Input for Mapless Robot Navigation Liulong Ma Yanjie Liu Jiao Chen SSL 102 17 0 24 Mar 2019
DQN with model-based exploration: efficient learning on environments with sparse rewards Stephen Gou Yuyang Liu 55 14 0 22 Mar 2019
Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning Sandy H. Huang Martina Zambelli Jackie Kay M. Martins Yuval Tassa P. Pilarski R. Hadsell 75 51 0 20 Mar 2019
Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration Jingwei Zhang Niklas Wetzel Nicolai Dorka Joschka Boedecker Wolfram Burgard 67 26 0 18 Mar 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning Vitchyr H. Pong Murtaza Dalal Steven Lin Ashvin Nair Shikhar Bahl Sergey Levine OffRL SSL 151 277 0 08 Mar 2019
Learning Exploration Policies for Navigation Tao Chen Saurabh Gupta Abhinav Gupta EgoV 99 239 0 05 Mar 2019
Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future Nan Rosemary Ke Amanpreet Singh Ahmed Touati Anirudh Goyal Yoshua Bengio Devi Parikh Dhruv Batra 78 48 0 05 Mar 2019