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Solving a Real-World Optimization Problem Using Proximal Policy
  Optimization with Curriculum Learning and Reward Engineering

Solving a Real-World Optimization Problem Using Proximal Policy Optimization with Curriculum Learning and Reward Engineering

3 April 2024
Abhijeet Pendyala
Asma Atamna
Tobias Glasmachers
    OffRL
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Papers citing "Solving a Real-World Optimization Problem Using Proximal Policy Optimization with Curriculum Learning and Reward Engineering"

4 / 4 papers shown
Title
SCC: an efficient deep reinforcement learning agent mastering the game
  of StarCraft II
SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II
Xiangjun Wang
Junxiao Song
Penghui Qi
Peng Peng
Zhenkun Tang
...
Xiongjun Pi
Jujie He
Chao Gao
Haitao Long
Quan Yuan
42
40
0
24 Dec 2020
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms
Shengyi Huang
Santiago Ontañón
57
315
0
25 Jun 2020
Learning by Playing - Solving Sparse Reward Tasks from Scratch
Learning by Playing - Solving Sparse Reward Tasks from Scratch
Martin Riedmiller
Roland Hafner
Thomas Lampe
Michael Neunert
Jonas Degrave
T. Wiele
Volodymyr Mnih
N. Heess
Jost Tobias Springenberg
81
446
0
28 Feb 2018
Automatic Goal Generation for Reinforcement Learning Agents
Automatic Goal Generation for Reinforcement Learning Agents
Carlos Florensa
David Held
Xinyang Geng
Pieter Abbeel
102
506
0
17 May 2017
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