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Generalization to New Actions in Reinforcement Learning

Generalization to New Actions in Reinforcement Learning

3 November 2020
Ayush Jain
Andrew Szot
Joseph J. Lim
    AI4CE
ArXivPDFHTML

Papers citing "Generalization to New Actions in Reinforcement Learning"

5 / 5 papers shown
Title
In-Context Reinforcement Learning for Variable Action Spaces
In-Context Reinforcement Learning for Variable Action Spaces
Viacheslav Sinii
Alexander Nikulin
Vladislav Kurenkov
Ilya Zisman
Sergey Kolesnikov
16
14
0
20 Dec 2023
BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard
  Environment
BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard Environment
Zeyi Liu
Zhenjia Xu
Shuran Song
35
2
0
17 Jul 2022
Learning to Synthesize Programs as Interpretable and Generalizable
  Policies
Learning to Synthesize Programs as Interpretable and Generalizable Policies
Dweep Trivedi
Jesse Zhang
Shao-Hua Sun
Joseph J. Lim
NAI
14
71
0
31 Aug 2021
RODE: Learning Roles to Decompose Multi-Agent Tasks
RODE: Learning Roles to Decompose Multi-Agent Tasks
Tonghan Wang
Tarun Gupta
Anuj Mahajan
Bei Peng
Shimon Whiteson
Chongjie Zhang
OffRL
22
203
0
04 Oct 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
329
11,681
0
09 Mar 2017
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