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Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey

Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey

Sanmit Narvekar
Bei Peng
Matteo Leonetti
Jivko Sinapov
Matthew E. Taylor
Peter Stone
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Papers citing "Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey"

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Title
Knowledge capture, adaptation and composition (KCAC): A framework for cross-task curriculum learning in robotic manipulation
Knowledge capture, adaptation and composition (KCAC): A framework for cross-task curriculum learning in robotic manipulation
Xinrui Wang
Yan Jin
27
0
0
15 May 2025
LineFlow: A Framework to Learn Active Control of Production Lines
LineFlow: A Framework to Learn Active Control of Production Lines
Kai Müller
Martin Wenzel
Tobias Windisch
AI4CE
26
0
0
10 May 2025
Resolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety
Resolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety
Jason J. Choi
Jasmine Jerry Aloor
Jingqi Li
Maria G. Mendoza
H. Balakrishnan
Claire J. Tomlin
28
0
0
04 May 2025
MR. Guard: Multilingual Reasoning Guardrail using Curriculum Learning
MR. Guard: Multilingual Reasoning Guardrail using Curriculum Learning
Yahan Yang
Soham Dan
Shuo Li
Dan Roth
Insup Lee
LRM
29
0
0
21 Apr 2025
Think2SQL: Reinforce LLM Reasoning Capabilities for Text2SQL
Think2SQL: Reinforce LLM Reasoning Capabilities for Text2SQL
Simone Papicchio
Simone Rossi
Luca Cagliero
Paolo Papotti
ReLM
LMTD
AI4TS
LRM
53
0
0
21 Apr 2025
SRPO: A Cross-Domain Implementation of Large-Scale Reinforcement Learning on LLM
SRPO: A Cross-Domain Implementation of Large-Scale Reinforcement Learning on LLM
X. Zhang
J. Wang
Zifei Cheng
Wenhao Zhuang
Zheng Lin
...
Shouyu Yin
Chaohang Wen
Haotian Zhang
Bin Chen
Bing Yu
LRM
35
2
0
19 Apr 2025
Next-Future: Sample-Efficient Policy Learning for Robotic-Arm Tasks
Next-Future: Sample-Efficient Policy Learning for Robotic-Arm Tasks
Fikrican Özgür
René Zurbrugg
Suryansh Kumar
25
0
0
15 Apr 2025
Adaptive Insurance Reserving with CVaR-Constrained Reinforcement Learning under Macroeconomic Regimes
Adaptive Insurance Reserving with CVaR-Constrained Reinforcement Learning under Macroeconomic Regimes
Stella C. Dong
James R. Finlay
19
0
0
13 Apr 2025
Task Matters: Investigating Human Questioning Behavior in Different Household Service for Learning by Asking Robots
Task Matters: Investigating Human Questioning Behavior in Different Household Service for Learning by Asking Robots
Yuanda Hu
Hou Jiani
Zhang Junyu
Yate Ge
Xiaohua Sun
Weiwei Guo
24
0
0
11 Apr 2025
Human-like compositional learning of visually-grounded concepts using synthetic environments
Human-like compositional learning of visually-grounded concepts using synthetic environments
Zijun Lin
M Ganesh Kumar
Cheston Tan
OCL
CoGe
70
0
0
09 Apr 2025
Probabilistic Curriculum Learning for Goal-Based Reinforcement Learning
Probabilistic Curriculum Learning for Goal-Based Reinforcement Learning
Llewyn Salt
Marcus Gallagher
31
1
0
02 Apr 2025
Causally Aligned Curriculum Learning
Causally Aligned Curriculum Learning
Mingxuan Li
Junzhe Zhang
Elias Bareinboim
CML
61
3
0
21 Mar 2025
Curriculum RL meets Monte Carlo Planning: Optimization of a Real World Container Management Problem
Curriculum RL meets Monte Carlo Planning: Optimization of a Real World Container Management Problem
Abhijeet Pendyala
Tobias Glasmachers
38
0
0
21 Mar 2025
Reward Training Wheels: Adaptive Auxiliary Rewards for Robotics Reinforcement Learning
Reward Training Wheels: Adaptive Auxiliary Rewards for Robotics Reinforcement Learning
Linji Wang
Tong Xu
Yuanjie Lu
Xuesu Xiao
46
0
0
19 Mar 2025
CTSAC: Curriculum-Based Transformer Soft Actor-Critic for Goal-Oriented Robot Exploration
CTSAC: Curriculum-Based Transformer Soft Actor-Critic for Goal-Oriented Robot Exploration
Chunyu Yang
Shengben Bi
Yihui Xu
Xin Zhang
48
0
0
18 Mar 2025
Pauli Network Circuit Synthesis with Reinforcement Learning
Pauli Network Circuit Synthesis with Reinforcement Learning
Ayushi Dubal
David Kremer
Simon Martiel
Victor Villar
Derek Wang
Juan Cruz-Benito
53
0
0
18 Mar 2025
RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning
RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning
Jerry Huang
Siddarth Madala
Risham Sidhu
Cheng Niu
Julia Hockenmaier
Tong Zhang
RALM
LRM
88
1
0
17 Mar 2025
A Generalist Hanabi Agent
A Generalist Hanabi Agent
Arjun Vaithilingam Sudhakar
Hadi Nekoei
Mathieu Reymond
Miao Liu
Janarthanan Rajendran
Sarath Chandar
144
0
0
17 Mar 2025
LLM-Mediated Guidance of MARL Systems
LLM-Mediated Guidance of MARL Systems
Philipp D. Siedler
Ian Gemp
40
0
0
16 Mar 2025
ForceGrip: Reference-Free Curriculum Learning for Realistic Grip Force Control in VR Hand Manipulation
ForceGrip: Reference-Free Curriculum Learning for Realistic Grip Force Control in VR Hand Manipulation
DongHeun Han
Byungmin Kim
RoUn Lee
KyeongMin Kim
Hyoseok Hwang
HyeongYeop Kang
58
0
0
11 Mar 2025
Active Alignments of Lens Systems with Reinforcement Learning
Matthias Burkhardt
Tobias Schmähling
Michael Layh
Tobias Windisch
34
0
0
03 Mar 2025
Catching Spinning Table Tennis Balls in Simulation with End-to-End Curriculum Reinforcement Learning
Xiaoyi Hu
Yue Mao
Gang Wang
Qingdu Li
Jianwei Zhang
Yunfeng Ji
29
0
0
03 Mar 2025
Task Scheduling & Forgetting in Multi-Task Reinforcement Learning
Marc Speckmann
Theresa Eimer
CLL
36
0
0
03 Mar 2025
LADDER: Self-Improving LLMs Through Recursive Problem Decomposition
Toby Simonds
Akira Yoshiyama
LRM
32
3
0
02 Mar 2025
On Generalization Across Environments In Multi-Objective Reinforcement Learning
Jayden Teoh
Pradeep Varakantham
Peter Vamplew
OffRL
34
0
0
02 Mar 2025
Autonomous Curriculum Design via Relative Entropy Based Task Modifications
Autonomous Curriculum Design via Relative Entropy Based Task Modifications
Muhammed Yusuf Satici
Jianxun Wang
David L. Roberts
38
0
0
28 Feb 2025
Improving the Efficiency of a Deep Reinforcement Learning-Based Power Management System for HPC Clusters Using Curriculum Learning
Improving the Efficiency of a Deep Reinforcement Learning-Based Power Management System for HPC Clusters Using Curriculum Learning
Thomas Budiarjo
Santana Yuda Pradata
Kadek Gemilang Santiyuda
Muhammad Alfian Amrizal
Reza Pulungan
Hiroyuki Takizawa
49
0
0
27 Feb 2025
Automating Curriculum Learning for Reinforcement Learning using a Skill-Based Bayesian Network
Automating Curriculum Learning for Reinforcement Learning using a Skill-Based Bayesian Network
Vincent Hsiao
Mark Roberts
Laura M. Hiatt
George Konidaris
Dana Nau
34
0
0
21 Feb 2025
DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model
DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model
Yi Liu
Changran Xu
Yunhao Zhou
Z. Li
Qiang Xu
VLM
43
4
0
20 Feb 2025
A Survey of Reinforcement Learning for Optimization in Automation
A Survey of Reinforcement Learning for Optimization in Automation
Ahmad Farooq
Kamran Iqbal
OffRL
89
1
0
13 Feb 2025
CuRLA: Curriculum Learning Based Deep Reinforcement Learning for Autonomous Driving
Bhargava Uppuluri
Anjel Patel
Neil Mehta
Sridhar Kamath
Pratyush Chakraborty
35
0
0
10 Jan 2025
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution
Ke Xue
Yutong Wang
Cong Guan
Lei Yuan
Haobo Fu
Qiang Fu
Chao Qian
Yang Yu
42
16
0
03 Jan 2025
Referencing Where to Focus: Improving VisualGrounding with Referential Query
Referencing Where to Focus: Improving VisualGrounding with Referential Query
Yabing Wang
Zhuotao Tian
Q. Guo
Zheng Qin
Sanping Zhou
Ming Yang
Le Wang
ObjD
39
1
0
26 Dec 2024
Does the Definition of Difficulty Matter? Scoring Functions and their Role for Curriculum Learning
Does the Definition of Difficulty Matter? Scoring Functions and their Role for Curriculum Learning
Simon Rampp
M. Milling
Andreas Triantafyllopoulos
Björn Schuller
28
1
0
01 Nov 2024
Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks
Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks
Michael T. Matthews
Michael Beukman
Chris Xiaoxuan Lu
Jakob Foerster
OffRL
AI4CE
36
2
0
30 Oct 2024
Adversarial Environment Design via Regret-Guided Diffusion Models
Adversarial Environment Design via Regret-Guided Diffusion Models
Hojun Chung
Junseo Lee
Minsoo Kim
Dohyeong Kim
Songhwai Oh
29
0
0
25 Oct 2024
Robotic Learning in your Backyard: A Neural Simulator from Open Source Components
Robotic Learning in your Backyard: A Neural Simulator from Open Source Components
Liyou Zhou
Oleg Sinavski
Athanasios Polydoros
3DGS
23
0
0
25 Oct 2024
Applying Neural Monte Carlo Tree Search to Unsignalized Multi-intersection Scheduling for Autonomous Vehicles
Applying Neural Monte Carlo Tree Search to Unsignalized Multi-intersection Scheduling for Autonomous Vehicles
Yucheng Shi
Wenlong Wang
Xiaowen Tao
Ivana Dusparic
V. Cahill
16
0
0
24 Oct 2024
Unveiling Options with Neural Decomposition
Unveiling Options with Neural Decomposition
Mahdi Alikhasi
Levi H. S. Lelis
29
0
0
15 Oct 2024
AFlow: Automating Agentic Workflow Generation
AFlow: Automating Agentic Workflow Generation
Jiayi Zhang
Jinyu Xiang
Zhaoyang Yu
Fengwei Teng
Xionghui Chen
...
Jinlin Wang
Bingnan Zheng
Bang Liu
Yuyu Luo
Chenglin Wu
AIFin
AI4CE
27
30
0
14 Oct 2024
Automatic Curriculum Expert Iteration for Reliable LLM Reasoning
Automatic Curriculum Expert Iteration for Reliable LLM Reasoning
Zirui Zhao
Hanze Dong
Amrita Saha
Caiming Xiong
Doyen Sahoo
LRM
27
3
0
10 Oct 2024
Optimizing the Training Schedule of Multilingual NMT using Reinforcement Learning
Optimizing the Training Schedule of Multilingual NMT using Reinforcement Learning
Alexis Allemann
Àlex R. Atrio
Andrei Popescu-Belis
19
0
0
08 Oct 2024
DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
Mathias Jackermeier
Alessandro Abate
OffRL
34
1
0
06 Oct 2024
Adaptive teachers for amortized samplers
Adaptive teachers for amortized samplers
Minsu Kim
Sanghyeok Choi
Taeyoung Yun
Emmanuel Bengio
Leo Feng
Jarrid Rector-Brooks
Sungsoo Ahn
Jinkyoo Park
Nikolay Malkin
Yoshua Bengio
140
2
0
02 Oct 2024
Grounded Curriculum Learning
Grounded Curriculum Learning
Linji Wang
Zifan Xu
Peter Stone
Xuesu Xiao
35
8
0
29 Sep 2024
CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models
CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models
Kanghyun Ryu
Qiayuan Liao
Zhongyu Li
K. Sreenath
Negar Mehr
Negar Mehr
LM&Ro
150
3
0
27 Sep 2024
Verti-Selector: Automatic Curriculum Learning for Wheeled Mobility on Vertically Challenging Terrain
Verti-Selector: Automatic Curriculum Learning for Wheeled Mobility on Vertically Challenging Terrain
Tong Xu
Chenhui Pan
Xuesu Xiao
24
2
0
26 Sep 2024
Applying Action Masking and Curriculum Learning Techniques to Improve Data Efficiency and Overall Performance in Operational Technology Cyber Security using Reinforcement Learning
Applying Action Masking and Curriculum Learning Techniques to Improve Data Efficiency and Overall Performance in Operational Technology Cyber Security using Reinforcement Learning
Alec Wilson
William Holmes
Ryan Menzies
Kez Smithson Whitehead
23
0
0
13 Sep 2024
IR2: Implicit Rendezvous for Robotic Exploration Teams under Sparse Intermittent Connectivity
IR2: Implicit Rendezvous for Robotic Exploration Teams under Sparse Intermittent Connectivity
Derek Ming Siang Tan
Yixiao Ma
Jingsong Liang
Yi Cheng Chng
Yuhong Cao
Guillaume Sartoretti
53
2
0
07 Sep 2024
Game On: Towards Language Models as RL Experimenters
Game On: Towards Language Models as RL Experimenters
Jingwei Zhang
Thomas Lampe
A. Abdolmaleki
Jost Tobias Springenberg
Martin Riedmiller
LM&Ro
29
0
0
05 Sep 2024