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Dungeons and Data: A Large-Scale NetHack Dataset

Dungeons and Data: A Large-Scale NetHack Dataset

1 November 2022
Eric Hambro
Roberta Raileanu
Dan Rothermel
Vegard Mella
Tim Rocktaschel
Heinrich Küttler
Naila Murray
    OffRL
ArXivPDFHTML

Papers citing "Dungeons and Data: A Large-Scale NetHack Dataset"

9 / 9 papers shown
Title
BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games
BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games
Davide Paglieri
Bartłomiej Cupiał
Samuel Coward
Ulyana Piterbarg
Maciej Wolczyk
...
Lerrel Pinto
Rob Fergus
Jakob Foerster
Jack Parker-Holder
Tim Rocktaschel
LLMAG
LRM
101
10
0
20 Nov 2024
You Can't Count on Luck: Why Decision Transformers and RvS Fail in
  Stochastic Environments
You Can't Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments
Keiran Paster
Sheila A. McIlraith
Jimmy Ba
OffRL
133
27
0
31 May 2022
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
206
832
0
12 Oct 2021
BRAC+: Improved Behavior Regularized Actor Critic for Offline
  Reinforcement Learning
BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning
Chi Zhang
S. Kuppannagari
Viktor Prasanna
OffRL
39
15
0
02 Oct 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning
  Research
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
Mikayel Samvelyan
Robert Kirk
Vitaly Kurin
Jack Parker-Holder
Minqi Jiang
Eric Hambro
Fabio Petroni
Heinrich Küttler
Edward Grefenstette
Tim Rocktaschel
OffRL
226
89
0
27 Sep 2021
What Matters in Learning from Offline Human Demonstrations for Robot
  Manipulation
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation
Ajay Mandlekar
Danfei Xu
J. Wong
Soroush Nasiriany
Chen Wang
Rohun Kulkarni
Li Fei-Fei
Silvio Savarese
Yuke Zhu
Roberto Martín-Martín
OffRL
139
461
0
06 Aug 2021
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning
Rongjun Qin
Songyi Gao
Xingyuan Zhang
Zhen Xu
Shengkai Huang
Zewen Li
Weinan Zhang
Yang Yu
OffRL
132
76
0
01 Feb 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
321
1,944
0
04 May 2020
Emergence of Locomotion Behaviours in Rich Environments
Emergence of Locomotion Behaviours in Rich Environments
N. Heess
TB Dhruva
S. Sriram
Jay Lemmon
J. Merel
...
Tom Erez
Ziyun Wang
S. M. Ali Eslami
Martin Riedmiller
David Silver
118
919
0
07 Jul 2017
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