Maximum a Posteriori Policy Optimisation

14 June 2018

A. Abdolmaleki

Jost Tobias Springenberg

Martin Riedmiller

Papers citing "Maximum a Posteriori Policy Optimisation"

36 / 136 papers shown

Title
Plan2Vec: Unsupervised Representation Learning by Latent Plans Ge Yang Amy Zhang Ari S. Morcos Joelle Pineau Pieter Abbeel Roberto Calandra SSL OffRL 28 27 0 07 May 2020
Self-Paced Deep Reinforcement Learning Pascal Klink Carlo DÉramo Jan Peters Joni Pajarinen ODL 38 54 0 24 Apr 2020
Leverage the Average: an Analysis of KL Regularization in RL Nino Vieillard Tadashi Kozuno B. Scherrer Olivier Pietquin Rémi Munos M. Geist 17 42 0 31 Mar 2020
An empirical investigation of the challenges of real-world reinforcement learning Gabriel Dulac-Arnold Nir Levine D. Mankowitz Jerry Li Cosmin Paduraru Sven Gowal Todd Hester OffRL 31 120 0 24 Mar 2020
Stable Policy Optimization via Off-Policy Divergence Regularization Ahmed Touati Amy Zhang Joelle Pineau Pascal Vincent OffRL 22 17 0 09 Mar 2020
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement Benjamin Eysenbach Xinyang Geng Sergey Levine Ruslan Salakhutdinov OffRL 18 86 0 25 Feb 2020
Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning Noah Y. Siegel Jost Tobias Springenberg Felix Berkenkamp A. Abdolmaleki Michael Neunert Thomas Lampe Roland Hafner Nicolas Heess Martin Riedmiller OffRL 22 282 0 19 Feb 2020
Adaptive Approximate Policy Iteration Botao Hao N. Lazić Yasin Abbasi-Yadkori Pooria Joulani Csaba Szepesvári 13 14 0 08 Feb 2020
Reinforcement Learning via Fenchel-Rockafellar Duality Ofir Nachum Bo Dai OffRL 11 117 0 07 Jan 2020
Making Sense of Reinforcement Learning and Probabilistic Inference Brendan O'Donoghue Ian Osband Catalin Ionescu OffRL 22 47 0 03 Jan 2020
Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics Michael Neunert A. Abdolmaleki Markus Wulfmeier Thomas Lampe Jost Tobias Springenberg Roland Hafner Francesco Romano J. Buchli N. Heess Martin Riedmiller 13 91 0 02 Jan 2020
Better Exploration with Optimistic Actor-Critic K. Ciosek Q. Vuong R. Loftin Katja Hofmann 11 148 0 28 Oct 2019
Learning Data Manipulation for Augmentation and Weighting Zhiting Hu Bowen Tan Ruslan Salakhutdinov Tom Michael Mitchell Eric P. Xing 21 116 0 28 Oct 2019
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models Arunkumar Byravan Jost Tobias Springenberg A. Abdolmaleki Roland Hafner Michael Neunert Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller OffRL 11 41 0 09 Oct 2019
Augmenting learning using symmetry in a biologically-inspired domain Shruti Mishra A. Abdolmaleki A. Guez Piotr Trochim Doina Precup 22 8 0 01 Oct 2019
V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control H. F. Song A. Abdolmaleki Jost Tobias Springenberg Aidan Clark Hubert Soyer ... Dhruva Tirumala N. Heess Dan Belov Martin Riedmiller M. Botvinick 29 121 0 26 Sep 2019
On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift Alekh Agarwal Sham Kakade J. Lee G. Mahajan 11 315 0 01 Aug 2019
Integration of Imitation Learning using GAIL and Reinforcement Learning using Task-achievement Rewards via Probabilistic Graphical Model Akira Kinose T. Taniguchi 30 20 0 03 Jul 2019
Modified Actor-Critics Erinc Merdivan S. Hanke M. Geist 19 2 0 02 Jul 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 25 371 0 01 Jul 2019
Compositional Transfer in Hierarchical Reinforcement Learning Markus Wulfmeier A. Abdolmaleki Roland Hafner Jost Tobias Springenberg Michael Neunert Tim Hertweck Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller 14 27 0 26 Jun 2019
Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy Boyi Liu Qi Cai Zhuoran Yang Zhaoran Wang 22 108 0 25 Jun 2019
Entropic Risk Measure in Policy Search David Nass Boris Belousov Jan Peters 17 26 0 21 Jun 2019
Policy Search by Target Distribution Learning for Continuous Control Chuheng Zhang Yuanqi Li Jian Li 19 6 0 27 May 2019
A Regularized Opponent Model with Maximum Entropy Objective Zheng Tian Ying Wen Zhichen Gong Faiz Punakkath Shihao Zou Jun Wang 27 30 0 17 May 2019
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies Riley Simmons-Edler Ben Eisner E. Mitchell Sebastian Seung Daniel D. Lee 18 28 0 25 Mar 2019
Value constrained model-free continuous control Steven Bohez A. Abdolmaleki Michael Neunert J. Buchli N. Heess R. Hadsell 16 62 0 12 Feb 2019
Learning to Walk via Deep Reinforcement Learning Tuomas Haarnoja Sehoon Ha Aurick Zhou Jie Tan George Tucker Sergey Levine 17 433 0 26 Dec 2018
Relative Entropy Regularized Policy Iteration A. Abdolmaleki Jost Tobias Springenberg Jonas Degrave Steven Bohez Yuval Tassa Dan Belov N. Heess Martin Riedmiller 14 72 0 05 Dec 2018
VIREL: A Variational Inference Framework for Reinforcement Learning M. Fellows Anuj Mahajan Tim G. J. Rudner Shimon Whiteson DRL 22 53 0 03 Nov 2018
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments S. Srinivasan Marc Lanctot V. Zambaldi Julien Perolat K. Tuyls Rémi Munos Michael Bowling 6 148 0 21 Oct 2018
PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation Perttu Hämäläinen Amin Babadi Xiaoxiao Ma J. Lehtinen 29 62 0 05 Oct 2018
Supervised Policy Update for Deep Reinforcement Learning Q. Vuong Yiming Zhang Keith Ross 11 20 0 29 May 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review Sergey Levine AI4CE BDL 22 656 0 02 May 2018
Expected Policy Gradients for Reinforcement Learning K. Ciosek Shimon Whiteson 39 51 0 10 Jan 2018
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 134 928 0 07 Jul 2017