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. 2302.04449
  4. Cited By
Read and Reap the Rewards: Learning to Play Atari with the Help of
  Instruction Manuals

Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals

9 February 2023
Yue Wu
Yewen Fan
Paul Pu Liang
A. Azaria
Yuan-Fang Li
Tom Michael Mitchell
    OffRL
ArXivPDFHTML

Papers citing "Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals"

40 / 40 papers shown
Title
AED: Automatic Discovery of Effective and Diverse Vulnerabilities for Autonomous Driving Policy with Large Language Models
AED: Automatic Discovery of Effective and Diverse Vulnerabilities for Autonomous Driving Policy with Large Language Models
Le Qiu
Zelai Xu
Qixin Tan
Wenhao Tang
Chao-Hua Yu
Yu Wang
AAML
38
0
0
24 Mar 2025
Towards Automated Semantic Interpretability in Reinforcement Learning via Vision-Language Models
Towards Automated Semantic Interpretability in Reinforcement Learning via Vision-Language Models
Zhaoxin Li
Zhang Xi-Jia
Batuhan Altundas
Letian Chen
Rohan R. Paleja
Matthew C. Gombolay
OffRL
41
0
0
20 Mar 2025
APF+: Boosting adaptive-potential function reinforcement learning methods with a W-shaped network for high-dimensional games
APF+: Boosting adaptive-potential function reinforcement learning methods with a W-shaped network for high-dimensional games
Yifei Chen
Lambert Schomaker
31
0
0
17 Mar 2025
Zero-shot Model-based Reinforcement Learning using Large Language Models
Zero-shot Model-based Reinforcement Learning using Large Language Models
Abdelhakim Benechehab
Youssef Attia El Hili
Ambroise Odonnat
Oussama Zekri
Albert Thomas
Giuseppe Paolo
Maurizio Filippone
I. Redko
Balázs Kégl
OffRL
62
1
0
17 Feb 2025
From Laws to Motivation: Guiding Exploration through Law-Based Reasoning
  and Rewards
From Laws to Motivation: Guiding Exploration through Law-Based Reasoning and Rewards
Ziyu Chen
Zhiqing Xiao
Xinbei Jiang
Junbo Zhao
75
0
0
24 Nov 2024
Online Intrinsic Rewards for Decision Making Agents from Large Language
  Model Feedback
Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback
Qinqing Zheng
Mikael Henaff
Amy Zhang
Aditya Grover
Brandon Amos
LLMAG
OffRL
29
3
0
30 Oct 2024
Enhancing Two-Player Performance Through Single-Player Knowledge
  Transfer: An Empirical Study on Atari 2600 Games
Enhancing Two-Player Performance Through Single-Player Knowledge Transfer: An Empirical Study on Atari 2600 Games
Kimiya Saadat
Richard Zhao
19
0
0
22 Oct 2024
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents
Nils Grandien
Quentin Delfosse
Kristian Kersting
OffRL
27
2
0
18 Oct 2024
From Reward Shaping to Q-Shaping: Achieving Unbiased Learning with
  LLM-Guided Knowledge
From Reward Shaping to Q-Shaping: Achieving Unbiased Learning with LLM-Guided Knowledge
Xiefeng Wu
OffRL
34
1
0
02 Oct 2024
Assessing the Zero-Shot Capabilities of LLMs for Action Evaluation in RL
Assessing the Zero-Shot Capabilities of LLMs for Action Evaluation in RL
Eduardo Pignatelli
Johan Ferret
Tim Rockäschel
Edward Grefenstette
Davide Paglieri
Samuel Coward
Laura Toni
38
2
0
19 Sep 2024
How Well Can Vision Language Models See Image Details?
How Well Can Vision Language Models See Image Details?
Chenhui Gou
Abdulwahab Felemban
Faizan Farooq Khan
Deyao Zhu
Jianfei Cai
Hamid Rezatofighi
Mohamed Elhoseiny
VLM
MLLM
47
4
0
07 Aug 2024
Enhancing Agent Learning through World Dynamics Modeling
Enhancing Agent Learning through World Dynamics Modeling
Zhiyuan Sun
Haochen Shi
Marc-Alexandre Côté
Glen Berseth
Xingdi Yuan
Bang Liu
47
3
0
25 Jul 2024
LLaRA: Supercharging Robot Learning Data for Vision-Language Policy
LLaRA: Supercharging Robot Learning Data for Vision-Language Policy
Xiang Li
Cristina Mata
J. Park
Kumara Kahatapitiya
Yoo Sung Jang
...
Kanchana Ranasinghe
R. Burgert
Mu Cai
Yong Jae Lee
Michael S. Ryoo
LM&Ro
62
25
0
28 Jun 2024
OCALM: Object-Centric Assessment with Language Models
OCALM: Object-Centric Assessment with Language Models
Timo Kaufmann
Jannis Blüml
Antonia Wüst
Quentin Delfosse
Kristian Kersting
Eyke Hüllermeier
LM&Ro
LRM
34
1
0
24 Jun 2024
VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought
VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought
Gabriel H. Sarch
Lawrence Jang
Michael J. Tarr
William W. Cohen
Kenneth Marino
Katerina Fragkiadaki
LLMAG
36
8
0
20 Jun 2024
Enhancing Q-Learning with Large Language Model Heuristics
Enhancing Q-Learning with Large Language Model Heuristics
Xiefeng Wu
LRM
32
0
0
06 May 2024
AgentKit: Flow Engineering with Graphs, not Coding
AgentKit: Flow Engineering with Graphs, not Coding
Yue Wu
Yewen Fan
So Yeon Min
Shrimai Prabhumoye
Stephen Marcus McAleer
Yonatan Bisk
Ruslan Salakhutdinov
Yuanzhi Li
Tom Michael Mitchell
AI4CE
35
0
0
17 Apr 2024
Towards a Research Community in Interpretable Reinforcement Learning:
  the InterpPol Workshop
Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop
Hector Kohler
Quentin Delfosse
Paul Festor
Philippe Preux
27
0
0
16 Apr 2024
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept,
  Taxonomy, and Methods
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods
Yuji Cao
Huan Zhao
Yuheng Cheng
Ting Shu
Guolong Liu
Gaoqi Liang
Junhua Zhao
Yun Li
LLMAG
KELM
OffRL
LM&Ro
29
48
0
30 Mar 2024
Read to Play (R2-Play): Decision Transformer with Multimodal Game
  Instruction
Read to Play (R2-Play): Decision Transformer with Multimodal Game Instruction
Yonggang Jin
Ge Zhang
Hao Zhao
Tianyu Zheng
Jiawei Guo
Liuyu Xiang
Shawn Yue
Stephen W. Huang
Zhaofeng He
Jie Fu
OffRL
27
4
0
06 Feb 2024
Language-Guided World Models: A Model-Based Approach to AI Control
Language-Guided World Models: A Model-Based Approach to AI Control
Alex Zhang
Khanh Nguyen
Jens Tuyls
Albert Lin
Karthik Narasimhan
LLMAG
29
5
0
24 Jan 2024
Towards Socially and Morally Aware RL agent: Reward Design With LLM
Towards Socially and Morally Aware RL agent: Reward Design With LLM
Zhaoyue Wang
12
2
0
23 Jan 2024
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
Quentin Delfosse
Sebastian Sztwiertnia
M. Rothermel
Wolfgang Stammer
Kristian Kersting
41
18
0
11 Jan 2024
Open-Ended Instructable Embodied Agents with Memory-Augmented Large
  Language Models
Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models
Gabriel H. Sarch
Yue Wu
Michael J. Tarr
Katerina Fragkiadaki
LM&Ro
LLMAG
19
18
0
23 Oct 2023
SmartPlay: A Benchmark for LLMs as Intelligent Agents
SmartPlay: A Benchmark for LLMs as Intelligent Agents
Yue Wu
Xuan Tang
Tom Michael Mitchell
Yuanzhi Li
ELM
LLMAG
27
63
0
02 Oct 2023
Intrinsic Language-Guided Exploration for Complex Long-Horizon Robotic
  Manipulation Tasks
Intrinsic Language-Guided Exploration for Complex Long-Horizon Robotic Manipulation Tasks
Wenke Huang
Filippos Christianos
Zhibin Li
27
8
0
28 Sep 2023
Text2Reward: Reward Shaping with Language Models for Reinforcement
  Learning
Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
Tianbao Xie
Siheng Zhao
Chen Henry Wu
Yitao Liu
Qian Luo
Victor Zhong
Yanchao Yang
Tao Yu
LM&Ro
34
48
0
20 Sep 2023
Semantic HELM: A Human-Readable Memory for Reinforcement Learning
Semantic HELM: A Human-Readable Memory for Reinforcement Learning
Fabian Paischer
Thomas Adler
M. Hofmarcher
Sepp Hochreiter
16
9
0
15 Jun 2023
OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments
OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments
Quentin Delfosse
Jannis Blüml
Bjarne Gregori
Sebastian Sztwiertnia
Kristian Kersting
38
17
0
14 Jun 2023
Large Language Models as Tax Attorneys: A Case Study in Legal
  Capabilities Emergence
Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence
John J. Nay
David Karamardian
Sarah Lawsky
Wenting Tao
Meghana Moorthy Bhat
Raghav Jain
Aaron Travis Lee
Jonathan H. Choi
Jungo Kasai
ELM
AILaw
19
56
0
12 Jun 2023
Towards Generalist Robots: A Promising Paradigm via Generative
  Simulation
Towards Generalist Robots: A Promising Paradigm via Generative Simulation
Zhou Xian
Théophile Gervet
Zhenjia Xu
Yi-Ling Qiao
Tsun-Hsuan Wang
Yian Wang
LM&Ro
52
7
0
17 May 2023
Plan, Eliminate, and Track -- Language Models are Good Teachers for
  Embodied Agents
Plan, Eliminate, and Track -- Language Models are Good Teachers for Embodied Agents
Yu-Chih Chen
So Yeon Min
Chase Davis
Ruslan Salakhutdinov
A. Azaria
Yuan-Fang Li
Tom Michael Mitchell
A. Bovik
LM&Ro
LLMAG
70
32
0
03 May 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
248
2,232
0
22 Mar 2023
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
293
4,077
0
24 May 2022
Language Models with Image Descriptors are Strong Few-Shot
  Video-Language Learners
Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners
Zhenhailong Wang
Manling Li
Ruochen Xu
Luowei Zhou
Jie Lei
...
Chenguang Zhu
Derek Hoiem
Shih-Fu Chang
Mohit Bansal
Heng Ji
MLLM
VLM
170
137
0
22 May 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
S. Hoi
MLLM
BDL
VLM
CLIP
390
4,124
0
28 Jan 2022
FILM: Following Instructions in Language with Modular Methods
FILM: Following Instructions in Language with Modular Methods
So Yeon Min
Devendra Singh Chaplot
Pradeep Ravikumar
Yonatan Bisk
Ruslan Salakhutdinov
LM&Ro
204
159
0
12 Oct 2021
Adaptive Rational Activations to Boost Deep Reinforcement Learning
Adaptive Rational Activations to Boost Deep Reinforcement Learning
Quentin Delfosse
P. Schramowski
Martin Mundt
Alejandro Molina
Kristian Kersting
29
14
0
18 Feb 2021
Grounding Language to Entities and Dynamics for Generalization in
  Reinforcement Learning
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning
H. Wang
Victor Zhong
Karthik Narasimhan
76
53
0
19 Jan 2021
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
143
1,628
0
02 Feb 2020
1