Mirror Descent Policy Optimization

20 May 2020

Papers citing "Mirror Descent Policy Optimization"

30 / 30 papers shown

Title
Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models Guanghao Zhou Panjia Qiu Chong Chen Jiadong Wang Zheming Yang Jian Xu Minghui Qiu OffRL LRM 77 4 0 30 Apr 2025
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Yang Sui Yu-Neng Chuang Guanchu Wang Jiamu Zhang Tianyi Zhang ... Hongyi Liu Andrew Wen Shaochen Zhong Hanjie Chen OffRL ReLM LRM 130 71 0 20 Mar 2025
Embedding Safety into RL: A New Take on Trust Region Methods Nikola Milosevic Johannes Müller Nico Scherf 64 1 0 05 Nov 2024
Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Model Alignment Mingzhi Wang Chengdong Ma Qizhi Chen Linjian Meng Yang Han Jiancong Xiao Zhaowei Zhang Jing Huo Weijie Su Yaodong Yang 99 7 0 22 Oct 2024
Functional Acceleration for Policy Mirror Descent Veronica Chelu Doina Precup 42 0 0 23 Jul 2024
Introduction to Online Convex Optimization Elad Hazan OffRL 71 1,919 0 07 Sep 2019
Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs Lior Shani Yonathan Efroni Shie Mannor 28 175 0 06 Sep 2019
Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy Boyi Liu Qi Cai Zhuoran Yang Zhaoran Wang 42 109 0 25 Jun 2019
Truly Proximal Policy Optimization Yuhui Wang Hao He Chao Wen Xiaoyang Tan 28 123 0 19 Mar 2019
Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning Kyungjae Lee Sungyub Kim Sungbin Lim Sungjoon Choi Songhwai Oh 93 28 0 31 Jan 2019
A Theory of Regularized Markov Decision Processes Matthieu Geist B. Scherrer Olivier Pietquin 82 317 0 31 Jan 2019
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 132 5,121 0 26 Feb 2018
Path Consistency Learning in Tsallis Entropy Regularized MDPs Ofir Nachum Yinlam Chow Mohammad Ghavamzadeh 46 45 0 10 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 172 8,236 0 04 Jan 2018
Sparse Markov Decision Processes with Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning Kyungjae Lee Sungjoon Choi Songhwai Oh 35 67 0 19 Sep 2017
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 90 1,940 0 19 Sep 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 185 18,685 0 20 Jul 2017
Trust-PCL: An Off-Policy Trust Region Method for Continuous Control Ofir Nachum Mohammad Norouzi Kelvin Xu Dale Schuurmans 42 106 0 06 Jul 2017
A unified view of entropy-regularized Markov decision processes Gergely Neu Anders Jonsson Vicencc Gómez 76 255 0 22 May 2017
Bridging the Gap Between Value and Policy Based Reinforcement Learning Ofir Nachum Mohammad Norouzi Kelvin Xu Dale Schuurmans 92 469 0 28 Feb 2017
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates S. Gu E. Holly Timothy Lillicrap Sergey Levine OffRL SSL 82 1,474 0 03 Oct 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 162 5,048 0 05 Jun 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 150 8,805 0 04 Feb 2016
Taming the Noise in Reinforcement Learning via Soft Updates Roy Fox Ari Pakman Naftali Tishby 26 336 0 28 Dec 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 146 13,174 0 09 Sep 2015
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 31 3,368 0 08 Jun 2015
End-to-End Training of Deep Visuomotor Policies Sergey Levine Chelsea Finn Trevor Darrell Pieter Abbeel BDL 182 3,418 0 02 Apr 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 221 6,722 0 19 Feb 2015
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 54 2,992 0 19 Jul 2012
Dynamic Policy Programming M. G. Azar Vicencc Gómez H. Kappen 36 123 0 12 Apr 2010