A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment

26 July 2019

Papers citing "A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment"

32 / 32 papers shown

Title
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 346 10,591 0 17 Feb 2020
Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning Felix Leibfried Jordi Grau-Moya 52 22 0 11 Sep 2019
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 133 2,418 0 13 Dec 2018
Empowerment-driven Exploration using Mutual Information Estimation Navneet Kumar 25 8 0 11 Oct 2018
Adversarial Imitation via Variational Inverse Reinforcement Learning A. H. Qureshi Byron Boots Michael C. Yip 52 61 0 17 Sep 2018
A unified strategy for implementing curiosity and empowerment driven reinforcement learning Ildefons Magrans de Abril Ryota Kanai 60 20 0 18 Jun 2018
Maximum a Posteriori Policy Optimisation A. Abdolmaleki Jost Tobias Springenberg Yuval Tassa Rémi Munos N. Heess Martin Riedmiller 71 477 0 14 Jun 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 210 1,272 0 30 May 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review Sergey Levine AI4CE BDL 73 671 0 02 May 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 169 5,168 0 26 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 284 8,313 0 04 Jan 2018
An Information-Theoretic Optimality Principle for Deep Reinforcement Learning Felix Leibfried Jordi Grau-Moya Haitham Bou-Ammar 79 24 0 06 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 446 18,931 0 20 Jul 2017
A unified view of entropy-regularized Markov decision processes Gergely Neu Anders Jonsson Vicencc Gómez 93 262 0 22 May 2017
Equivalence Between Policy Gradients and Soft Q-Learning John Schulman Xi Chen Pieter Abbeel OffRL 80 345 0 21 Apr 2017
Bridging the Gap Between Value and Policy Based Reinforcement Learning Ofir Nachum Mohammad Norouzi Kelvin Xu Dale Schuurmans 152 470 0 28 Feb 2017
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 95 1,339 0 27 Feb 2017
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 204 5,073 0 05 Jun 2016
Information Theoretically Aided Reinforcement Learning for Embodied Agents Guido Montúfar K. Zahedi Nihat Ay 32 10 0 31 May 2016
Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes Jordi Grau-Moya Felix Leibfried Tim Genewein Daniel A. Braun 107 28 0 07 Apr 2016
Bounded Rational Decision-Making in Feedforward Neural Networks Felix Leibfried Daniel A. Braun 48 9 0 26 Feb 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 189 8,833 0 04 Feb 2016
Taming the Noise in Reinforcement Learning via Soft Updates Roy Fox Ari Pakman Naftali Tishby 67 338 0 28 Dec 2015
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning S. Mohamed Danilo Jimenez Rezende DRL SSL 86 401 0 29 Sep 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 156 7,623 0 22 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 310 13,214 0 09 Sep 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 274 6,755 0 19 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 149,842 0 22 Dec 2014
Empowerment -- an Introduction Christoph Salge C. Glackin Daniel Polani 79 181 0 07 Oct 2013
Thermodynamics as a theory of decision-making with information processing costs Pedro A. Ortega Daniel A. Braun 85 262 0 29 Apr 2012
Empowerment for Continuous Agent-Environment Systems T. Jung Daniel Polani Peter Stone 61 99 0 31 Jan 2012
Higher coordination with less control - A result of information maximization in the sensorimotor loop K. Zahedi Nihat Ay R. Der 90 71 0 11 Oct 2009