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Evolving Constrained Reinforcement Learning Policy

Evolving Constrained Reinforcement Learning Policy

19 April 2023
Chengpeng Hu
Jiyuan Pei
Jialin Liu
Xinghu Yao
ArXiv (abs)PDFHTML

Papers citing "Evolving Constrained Reinforcement Learning Policy"

17 / 17 papers shown
Title
Tianshou: a Highly Modularized Deep Reinforcement Learning Library
Tianshou: a Highly Modularized Deep Reinforcement Learning Library
Jiayi Weng
Huayu Chen
Dong Yan
Kaichao You
Alexis Duburcq
Minghao Zhang
Yi Su
Hang Su
Jun Zhu
NoLaOffRL
93
204
0
29 Jul 2021
Reinforcement Learning with Dual-Observation for General Video Game
  Playing
Reinforcement Learning with Dual-Observation for General Video Game Playing
Chengpeng Hu
Ziqi Wang
Tianye Shu
Hao Tong
Julian Togelius
Xinghu Yao
Jialin Liu
OffRL
52
8
0
11 Nov 2020
Balancing Constraints and Rewards with Meta-Gradient D4PG
Balancing Constraints and Rewards with Meta-Gradient D4PG
D. A. Calian
D. Mankowitz
Tom Zahavy
Zhongwen Xu
Junhyuk Oh
Nir Levine
Timothy A. Mann
66
25
0
13 Oct 2020
Projection-Based Constrained Policy Optimization
Projection-Based Constrained Policy Optimization
Tsung-Yen Yang
Justinian P. Rosca
Karthik Narasimhan
Peter J. Ramadge
41
243
0
07 Oct 2020
Evolutionary Reinforcement Learning via Cooperative Coevolutionary
  Negatively Correlated Search
Evolutionary Reinforcement Learning via Cooperative Coevolutionary Negatively Correlated Search
Hu Zhang
Peng Yang
Yang Yu
Mingjiang Li
K. Tang
116
20
0
08 Sep 2020
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
Adam Stooke
Joshua Achiam
Pieter Abbeel
81
300
0
08 Jul 2020
IPO: Interior-point Policy Optimization under Constraints
IPO: Interior-point Policy Optimization under Constraints
Yongshuai Liu
J. Ding
Xin Liu
87
182
0
21 Oct 2019
Proximal Distilled Evolutionary Reinforcement Learning
Proximal Distilled Evolutionary Reinforcement Learning
Cristian Bodnar
Ben Day
Pietro Lio
75
74
0
24 Jun 2019
Collaborative Evolutionary Reinforcement Learning
Collaborative Evolutionary Reinforcement Learning
Shauharda Khadka
Somdeb Majumdar
Tarek Nassar
Zach Dwiel
E. Tumer
Santiago Miret
Yinyin Liu
Kagan Tumer
50
100
0
02 May 2019
CEM-RL: Combining evolutionary and gradient-based methods for policy
  search
CEM-RL: Combining evolutionary and gradient-based methods for policy search
Aloïs Pourchot
Olivier Sigaud
80
161
0
02 Oct 2018
Reward Constrained Policy Optimization
Reward Constrained Policy Optimization
Chen Tessler
D. Mankowitz
Shie Mannor
86
544
0
28 May 2018
Evolution-Guided Policy Gradient in Reinforcement Learning
Evolution-Guided Policy Gradient in Reinforcement Learning
Shauharda Khadka
Kagan Tumer
116
229
0
21 May 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
317
8,420
0
04 Jan 2018
Constrained Policy Optimization
Constrained Policy Optimization
Joshua Achiam
David Held
Aviv Tamar
Pieter Abbeel
132
1,335
0
30 May 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Tim Salimans
Jonathan Ho
Xi Chen
Szymon Sidor
Ilya Sutskever
115
1,544
0
10 Mar 2017
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Shai Shalev-Shwartz
Shaked Shammah
Amnon Shashua
111
840
0
11 Oct 2016
OpenAI Gym
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRLODL
223
5,086
0
05 Jun 2016
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