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Generalising Discrete Action Spaces with Conditional Action Trees

Generalising Discrete Action Spaces with Conditional Action Trees

15 April 2021
Christopher Bamford
Alvaro Ovalle
ArXivPDFHTML

Papers citing "Generalising Discrete Action Spaces with Conditional Action Trees"

16 / 16 papers shown
Title
Entity-based Reinforcement Learning for Autonomous Cyber Defence
Entity-based Reinforcement Learning for Autonomous Cyber Defence
Isaac Symes Thompson
Alberto Caron
Chris Hicks
V. Mavroudis
AAML
135
3
0
23 Oct 2024
Griddly: A platform for AI research in games
Griddly: A platform for AI research in games
Chris Bamford
Shengyi Huang
Simon Lucas
53
37
0
12 Nov 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
316
0
25 Jun 2020
Action Space Shaping in Deep Reinforcement Learning
Action Space Shaping in Deep Reinforcement Learning
Anssi Kanervisto
Christian Scheller
Ville Hautamaki
46
81
0
02 Apr 2020
Graph Constrained Reinforcement Learning for Natural Language Action
  Spaces
Graph Constrained Reinforcement Learning for Natural Language Action Spaces
Prithviraj Ammanabrolu
Matthew J. Hausknecht
AI4CE
LLMAG
57
129
0
23 Jan 2020
Dota 2 with Large Scale Deep Reinforcement Learning
Dota 2 with Large Scale Deep Reinforcement Learning
OpenAI OpenAI
:
Christopher Berner
Greg Brockman
Brooke Chan
...
Szymon Sidor
Ilya Sutskever
Jie Tang
Filip Wolski
Susan Zhang
GNN
VLM
CLL
AI4CE
LRM
140
1,820
0
13 Dec 2019
Combinatorial Optimization by Graph Pointer Networks and Hierarchical
  Reinforcement Learning
Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning
Qiang Ma
Suwen Ge
Danyang He
D. Thaker
Iddo Drori
60
188
0
12 Nov 2019
Comparing Observation and Action Representations for Deep Reinforcement
  Learning in $μ$RTS
Comparing Observation and Action Representations for Deep Reinforcement Learning in μμμRTS
Shengyi Huang
Santiago Ontañón
38
8
0
26 Oct 2019
Autoregressive Policies for Continuous Control Deep Reinforcement
  Learning
Autoregressive Policies for Continuous Control Deep Reinforcement Learning
D. Korenkevych
A. R. Mahmood
Gautham Vasan
James Bergstra
56
28
0
27 Mar 2019
Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space
Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space
Zhou Fan
Ruilong Su
Weinan Zhang
Yong Yu
61
134
0
04 Mar 2019
The StarCraft Multi-Agent Challenge
The StarCraft Multi-Agent Challenge
Mikayel Samvelyan
Tabish Rashid
Christian Schroeder de Witt
Gregory Farquhar
Nantas Nardelli
Tim G. J. Rudner
Chia-Man Hung
Philip Torr
Jakob N. Foerster
Shimon Whiteson
85
950
0
11 Feb 2019
IMPALA: Scalable Distributed Deep-RL with Importance Weighted
  Actor-Learner Architectures
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
L. Espeholt
Hubert Soyer
Rémi Munos
Karen Simonyan
Volodymyr Mnih
...
Vlad Firoiu
Tim Harley
Iain Dunning
Shane Legg
Koray Kavukcuoglu
195
1,598
0
05 Feb 2018
StarCraft II: A New Challenge for Reinforcement Learning
StarCraft II: A New Challenge for Reinforcement Learning
Oriol Vinyals
T. Ewalds
Sergey Bartunov
Petko Georgiev
A. Vezhnevets
...
Anthony Brunasso
David Lawrence
Anders Ekermo
J. Repp
Rodney Tsing
76
873
0
16 Aug 2017
Reinforcement Learning with Deep Energy-Based Policies
Reinforcement Learning with Deep Energy-Based Policies
Tuomas Haarnoja
Haoran Tang
Pieter Abbeel
Sergey Levine
95
1,340
0
27 Feb 2017
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
191
8,850
0
04 Feb 2016
Reinforcement Learning with Parameterized Actions
Reinforcement Learning with Parameterized Actions
W. Masson
Pravesh Ranchod
George Konidaris
116
208
0
05 Sep 2015
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