An Adaptive Clipping Approach for Proximal Policy Optimization

17 April 2018

Papers citing "An Adaptive Clipping Approach for Proximal Policy Optimization"

19 / 19 papers shown

Title
Optimizing Electric Bus Charging Scheduling with Uncertainties Using Hierarchical Deep Reinforcement Learning Jiaju Qi Lei Lei Thorsteinn Jonsson Dusit Niyato 48 0 0 15 May 2025
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 96 2,792 0 19 Aug 2017
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation Yuhuai Wu Elman Mansimov Shun Liao Roger C. Grosse Jimmy Ba OffRL 43 624 0 17 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 236 18,685 0 20 Jul 2017
Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning S. Gu Timothy Lillicrap Zoubin Ghahramani Richard Turner Bernhard Schölkopf Sergey Levine OffRL 61 165 0 01 Jun 2017
FeUdal Networks for Hierarchical Reinforcement Learning A. Vezhnevets Simon Osindero Tom Schaul N. Heess Max Jaderberg David Silver Koray Kavukcuoglu FedML 70 902 0 03 Mar 2017
Bridging the Gap Between Value and Policy Based Reinforcement Learning Ofir Nachum Mohammad Norouzi Kelvin Xu Dale Schuurmans 113 470 0 28 Feb 2017
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 62 1,329 0 27 Feb 2017
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning Haoran Tang Rein Houthooft Davis Foote Adam Stooke Xi Chen Yan Duan John Schulman F. Turck Pieter Abbeel OffRL 81 764 0 15 Nov 2016
Sample Efficient Actor-Critic with Experience Replay Ziyun Wang V. Bapst N. Heess Volodymyr Mnih Rémi Munos Koray Kavukcuoglu Nando de Freitas 85 757 0 03 Nov 2016
Successor Features for Transfer in Reinforcement Learning André Barreto Will Dabney Rémi Munos Jonathan J. Hunt Tom Schaul H. V. Hasselt David Silver 33 566 0 16 Jun 2016
Benchmarking Deep Reinforcement Learning for Continuous Control Yan Duan Xi Chen Rein Houthooft John Schulman Pieter Abbeel OffRL 66 1,689 0 22 Apr 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 166 8,805 0 04 Feb 2016
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 63 3,742 0 20 Nov 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 193 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 43 3,368 0 08 Jun 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 245 6,722 0 19 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 844 149,474 0 22 Dec 2014
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 78 2,992 0 19 Jul 2012