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Causal Influence Detection for Improving Efficiency in Reinforcement Learning

7 June 2021

Papers citing "Causal Influence Detection for Improving Efficiency in Reinforcement Learning"

41 / 41 papers shown

Title
Reducing Action Space for Deep Reinforcement Learning via Causal Effect Estimation Wenzhang Liu Lianjun Jin Lu Ren Chaoxu Mu Changyin Sun CML 88 0 0 24 Jan 2025
Entity-based Reinforcement Learning for Autonomous Cyber Defence Isaac Symes Thompson Alberto Caron Chris Hicks V. Mavroudis AAML 161 3 0 23 Oct 2024
Mutual Information State Intrinsic Control Rui Zhao Yang Gao Pieter Abbeel Volker Tresp Wenyuan Xu SSL 47 25 0 15 Mar 2021
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 135 322 0 22 Feb 2021
Inductive Biases for Deep Learning of Higher-Level Cognition Anirudh Goyal Yoshua Bengio AI4CE 85 363 0 30 Nov 2020
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning Sumedh Anand Sontakke Arash Mehrjou Laurent Itti Bernhard Schölkopf CML 79 63 0 07 Oct 2020
Counterfactual Data Augmentation using Locally Factored Dynamics Silviu Pitis Elliot Creager Animesh Garg BDL OffRL 94 89 0 06 Jul 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 242 320 0 07 Feb 2020
Causally Correct Partial Models for Reinforcement Learning Danilo Jimenez Rezende Ivo Danihelka George Papamakarios Nan Rosemary Ke Ray Jiang ... Jane X. Wang Jovana Mitrović F. Besse Ioannis Antonoglou Lars Buesing AI4TS 77 34 0 07 Feb 2020
Learning Neural Causal Models from Unknown Interventions Nan Rosemary Ke O. Bilaniuk Anirudh Goyal Stefan Bauer Hugo Larochelle Bernhard Schölkopf Michael C. Mozer C. Pal Yoshua Bengio CML OOD 107 169 0 02 Oct 2019
Recurrent Independent Mechanisms Anirudh Goyal Alex Lamb Jordan Hoffmann Shagun Sodhani Sergey Levine Yoshua Bengio Bernhard Schölkopf 94 338 0 24 Sep 2019
Exploration via Hindsight Goal Generation Zhizhou Ren Kefan Dong Yuanshuo Zhou Qiang Liu Jian-wei Peng 70 90 0 10 Jun 2019
Self-Supervised Exploration via Disagreement Deepak Pathak Dhiraj Gandhi Abhinav Gupta SSL 83 384 0 10 Jun 2019
On Variational Bounds of Mutual Information Ben Poole Sherjil Ozair Aaron van den Oord Alexander A. Alemi George Tucker SSL 111 814 0 16 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 67 15 0 12 May 2019
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms Yoshua Bengio T. Deleu Nasim Rahaman Nan Rosemary Ke Sébastien Lachapelle O. Bilaniuk Anirudh Goyal C. Pal CML OOD 117 334 0 30 Jan 2019
Deconfounding Reinforcement Learning in Observational Settings Chaochao Lu Bernhard Schölkopf José Miguel Hernández-Lobato CML OOD 145 75 0 26 Dec 2018
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search Lars Buesing T. Weber Yori Zwols S. Racanière A. Guez Jean-Baptiste Lespiau N. Heess CML 115 138 0 15 Nov 2018
Contingency-Aware Exploration in Reinforcement Learning Jongwook Choi Yijie Guo Marcin Moczulski Junhyuk Oh Neal Wu Mohammad Norouzi Honglak Lee 65 73 0 05 Nov 2018
Energy-Based Hindsight Experience Prioritization Rui Zhao Volker Tresp 143 74 0 02 Oct 2018
Learning Dexterous In-Hand Manipulation OpenAI OpenAI Marcin Andrychowicz Bowen Baker Maciek Chociej Rafal Jozefowicz ... Szymon Sidor Joshua Tobin Peter Welinder Lilian Weng Wojciech Zaremba 163 1,884 0 01 Aug 2018
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation Dmitry Kalashnikov A. Irpan P. Pastor Julian Ibarz Alexander Herzog ... Deirdre Quillen E. Holly Mrinal Kalakrishnan Vincent Vanhoucke Sergey Levine 135 1,472 0 27 Jun 2018
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research Matthias Plappert Marcin Andrychowicz Alex Ray Bob McGrew Bowen Baker ... Joshua Tobin Maciek Chociej Peter Welinder Vikash Kumar Wojciech Zaremba 70 573 0 26 Feb 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 164 4,445 0 16 Feb 2018
Learning Independent Causal Mechanisms Giambattista Parascandolo Niki Kilbertus Mateo Rojas-Carulla Bernhard Schölkopf CML OOD DRL 54 182 0 04 Dec 2017
Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information Jakob Runge 146 171 0 05 Sep 2017
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 280 2,339 0 05 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 792 132,454 0 12 Jun 2017
Causal Effect Inference with Deep Latent-Variable Models Christos Louizos Uri Shalit Joris Mooij David Sontag R. Zemel Max Welling CML BDL 213 747 0 24 May 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 125 2,453 0 15 May 2017
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 231 3,796 0 18 Nov 2015
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning S. Mohamed Danilo Jimenez Rezende DRL SSL 99 402 0 29 Sep 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 327 13,289 0 09 Sep 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Efficient Estimation of Mutual Information for Strongly Dependent Variables Shuyang Gao Greg Ver Steeg Aram Galstyan 87 199 0 07 Nov 2014
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks Andrew M. Saxe James L. McClelland Surya Ganguli ODL 188 1,852 0 20 Dec 2013
Empowerment -- an Introduction Christoph Salge C. Glackin Daniel Polani 94 182 0 07 Oct 2013
Linear combination of one-step predictive information with an external reward in an episodic policy gradient setting: a critical analysis K. Zahedi Georg Martius Nihat Ay 64 13 0 26 Sep 2013
Information driven self-organization of complex robotic behaviors Georg Martius R. Der Nihat Ay 77 81 0 30 Jan 2013
Quantifying causal influences Dominik Janzing David Balduzzi Moritz Grosse-Wentrup Bernhard Schölkopf CML 100 220 0 29 Mar 2012
Identifiability of Causal Graphs using Functional Models J. Peters Joris Mooij Dominik Janzing Bernhard Schölkopf 100 155 0 14 Feb 2012