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Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals
Neural Information Processing Systems (NeurIPS), 2023
9 February 2023
Yue Wu
Yewen Fan
Paul Pu Liang
A. Azaria
Yuan-Fang Li
Tom Michael Mitchell
OffRL
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Papers citing
"Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals"
32 / 32 papers shown
AED: Automatic Discovery of Effective and Diverse Vulnerabilities for Autonomous Driving Policy with Large Language Models
Le Qiu
Zelai Xu
Qixin Tan
Wenhao Tang
Xinlei Chen
Yu Wang
AAML
363
0
0
24 Mar 2025
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
486
1
0
20 Mar 2025
APF+: Boosting adaptive-potential function reinforcement learning methods with a W-shaped network for high-dimensional games
Yifei Chen
Lambert Schomaker
279
0
0
17 Mar 2025
Zero-shot Model-based Reinforcement Learning using Large Language Models
International Conference on Learning Representations (ICLR), 2024
Khyati Khandelwal
Youssef Attia El Hili
Ambroise Odonnat
Oussama Zekri
Albert Thomas
Giuseppe Paolo
Maurizio Filippone
I. Redko
Jun Yao
OffRL
387
6
0
17 Feb 2025
From Laws to Motivation: Guiding Exploration through Law-Based Reasoning and Rewards
Ziyu Chen
Zhiqing Xiao
Xinbei Jiang
Junbo Zhao
365
0
0
24 Nov 2024
Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback
Qinqing Zheng
Mikael Henaff
Amy Zhang
Aditya Grover
Brandon Amos
LLMAG
OffRL
588
8
0
30 Oct 2024
Enhancing Two-Player Performance Through Single-Player Knowledge Transfer: An Empirical Study on Atari 2600 Games
Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE), 2024
Kimiya Saadat
Richard Zhao
235
1
0
22 Oct 2024
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents
Nils Grandien
Quentin Delfosse
Kristian Kersting
OffRL
516
6
0
18 Oct 2024
From Reward Shaping to Q-Shaping: Achieving Unbiased Learning with LLM-Guided Knowledge
Xiefeng Wu
OffRL
379
3
0
02 Oct 2024
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
324
11
0
19 Sep 2024
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
291
14
0
07 Aug 2024
Enhancing Agent Learning through World Dynamics Modeling
Zhiyuan Sun
Haochen Shi
Marc-Alexandre Côté
Glen Berseth
Xingdi Yuan
Bang Liu
409
6
0
25 Jul 2024
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
696
62
0
28 Jun 2024
OCALM: Object-Centric Assessment with Language Models
Timo Kaufmann
Johannes Czech
Antonia Wüst
Quentin Delfosse
Kristian Kersting
Eyke Hüllermeier
LM&Ro
LRM
317
1
0
24 Jun 2024
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
899
0
0
20 Jun 2024
Enhancing Q-Learning with Large Language Model Heuristics
Xiefeng Wu
LRM
395
2
0
06 May 2024
AgentKit: Flow Engineering with Graphs, not Coding
Yue Wu
Yewen Fan
So Yeon Min
Shrimai Prabhumoye
Alexander Shmakov
Yonatan Bisk
Ruslan Salakhutdinov
Yuanzhi Li
Tom Michael Mitchell
AI4CE
364
0
0
17 Apr 2024
Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop
Hector Kohler
Quentin Delfosse
Paul Festor
Philippe Preux
339
0
0
16 Apr 2024
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
494
186
0
30 Mar 2024
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
554
4
0
06 Feb 2024
Language-Guided World Models: A Model-Based Approach to AI Control
Alex Zhang
Khanh Nguyen
Jens Tuyls
Albert Lin
Karthik Narasimhan
LLMAG
362
12
0
24 Jan 2024
Towards Socially and Morally Aware RL agent: Reward Design With LLM
Zhaoyue Wang
295
5
0
23 Jan 2024
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
Neural Information Processing Systems (NeurIPS), 2024
Quentin Delfosse
Sebastian Sztwiertnia
M. Rothermel
Wolfgang Stammer
Kristian Kersting
518
25
0
11 Jan 2024
Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Gabriel H. Sarch
Yue Wu
Michael J. Tarr
Katerina Fragkiadaki
LM&Ro
LLMAG
457
39
0
23 Oct 2023
SmartPlay: A Benchmark for LLMs as Intelligent Agents
International Conference on Learning Representations (ICLR), 2023
Yue Wu
Xuan Tang
Tom Michael Mitchell
Yuanzhi Li
ELM
LLMAG
609
118
0
02 Oct 2023
Intrinsic Language-Guided Exploration for Complex Long-Horizon Robotic Manipulation Tasks
IEEE International Conference on Robotics and Automation (ICRA), 2023
Wenke Huang
Filippos Christianos
Zhibin Li
342
16
0
28 Sep 2023
Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
International Conference on Learning Representations (ICLR), 2023
Tianbao Xie
Siheng Zhao
Chen Henry Wu
Yitao Liu
Qian Luo
Victor Zhong
Yanchao Yang
Tao Yu
LM&Ro
480
132
0
20 Sep 2023
Semantic HELM: A Human-Readable Memory for Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2023
Fabian Paischer
Thomas Adler
M. Hofmarcher
Sepp Hochreiter
397
18
0
15 Jun 2023
OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments
Quentin Delfosse
Johannes Czech
Bjarne Gregori
Sebastian Sztwiertnia
Kristian Kersting
569
31
0
14 Jun 2023
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
371
100
0
12 Jun 2023
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
383
15
0
17 May 2023
Adaptive Rational Activations to Boost Deep Reinforcement Learning
International Conference on Learning Representations (ICLR), 2021
Quentin Delfosse
P. Schramowski
Martin Mundt
Alejandro Molina
Kristian Kersting
545
23
0
18 Feb 2021
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