ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2407.20806
  4. Cited By
ARCLE: The Abstraction and Reasoning Corpus Learning Environment for
  Reinforcement Learning

ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning

30 July 2024
Hosung Lee
Sejin Kim
Seungpil Lee
Sanha Hwang
Jihwan Lee
Byung-Jun Lee
Sundong Kim
    LRM
ArXivPDFHTML

Papers citing "ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning"

11 / 11 papers shown
Title
Addressing and Visualizing Misalignments in Human Task-Solving Trajectories
Addressing and Visualizing Misalignments in Human Task-Solving Trajectories
Sejin Kim
Hosung Lee
Sundong Kim
82
0
0
21 Sep 2024
Solving ARC visual analogies with neural embeddings and vector
  arithmetic: A generalized method
Solving ARC visual analogies with neural embeddings and vector arithmetic: A generalized method
Luca H. Thoms
Karel A. Veldkamp
Hannes Rosenbusch
Claire E. Stevenson
DML
64
5
0
14 Nov 2023
Unraveling the ARC Puzzle: Mimicking Human Solutions with Object-Centric
  Decision Transformer
Unraveling the ARC Puzzle: Mimicking Human Solutions with Object-Centric Decision Transformer
Jaehyun Park
Jaegyun Im
Sanha Hwang
Mintaek Lim
Sabina Ualibekova
Sejin Kim
Sundong Kim
AI4CE
48
13
0
14 Jun 2023
DR3: Value-Based Deep Reinforcement Learning Requires Explicit
  Regularization
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization
Aviral Kumar
Rishabh Agarwal
Tengyu Ma
Aaron Courville
George Tucker
Sergey Levine
OffRL
51
67
0
09 Dec 2021
CALVIN: A Benchmark for Language-Conditioned Policy Learning for
  Long-Horizon Robot Manipulation Tasks
CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks
Oier Mees
Lukás Hermann
Erick Rosete-Beas
Wolfram Burgard
LM&Ro
79
251
0
06 Dec 2021
The NetHack Learning Environment
The NetHack Learning Environment
Heinrich Küttler
Nantas Nardelli
Alexander H. Miller
Roberta Raileanu
Marco Selvatici
Edward Grefenstette
Tim Rocktaschel
52
179
0
24 Jun 2020
Machine Number Sense: A Dataset of Visual Arithmetic Problems for
  Abstract and Relational Reasoning
Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning
Wenhe Zhang
Chi Zhang
Yixin Zhu
Song-Chun Zhu
AIMat
53
27
0
25 Apr 2020
R2D2: Repeatable and Reliable Detector and Descriptor
R2D2: Repeatable and Reliable Detector and Descriptor
Jérôme Revaud
Philippe Weinzaepfel
César Roberto de Souza
Noé Pion
G. Csurka
Yohann Cabon
Martin Humenberger
68
476
0
14 Jun 2019
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
241
18,685
0
20 Jul 2017
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
763
11,793
0
09 Mar 2017
Reinforcement Learning with Unsupervised Auxiliary Tasks
Reinforcement Learning with Unsupervised Auxiliary Tasks
Max Jaderberg
Volodymyr Mnih
Wojciech M. Czarnecki
Tom Schaul
Joel Z Leibo
David Silver
Koray Kavukcuoglu
SSL
43
1,225
0
16 Nov 2016
1