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Goal-Conditioned Reinforcement Learning with Imagined Subgoals

Goal-Conditioned Reinforcement Learning with Imagined Subgoals

1 July 2021
Elliot Chane-Sane
Cordelia Schmid
Ivan Laptev
ArXivPDFHTML

Papers citing "Goal-Conditioned Reinforcement Learning with Imagined Subgoals"

50 / 95 papers shown
Title
Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning
Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning
Hongjoon Ahn
Heewoong Choi
Jisu Han
Taesup Moon
OffRL
9
0
0
19 May 2025
Efficient Robotic Policy Learning via Latent Space Backward Planning
Efficient Robotic Policy Learning via Latent Space Backward Planning
Dongxiu Liu
Haoyi Niu
Zhihao Wang
Jinliang Zheng
Yinan Zheng
Zhonghong Ou
Jianming Hu
Jianxiong Li
Xianyuan Zhan
28
0
0
11 May 2025
Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning
Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning
Caleb Chuck
Fan Feng
Carl Qi
Chang Shi
Siddhant Agarwal
Amy Zhang
S. Niekum
47
0
0
06 May 2025
Probabilistic Curriculum Learning for Goal-Based Reinforcement Learning
Probabilistic Curriculum Learning for Goal-Based Reinforcement Learning
Llewyn Salt
Marcus Gallagher
41
1
0
02 Apr 2025
CONTHER: Human-Like Contextual Robot Learning via Hindsight Experience Replay and Transformers without Expert Demonstrations
CONTHER: Human-Like Contextual Robot Learning via Hindsight Experience Replay and Transformers without Expert Demonstrations
Maria Makarova
Qian Liu
Dzmitry Tsetserukou
OffRL
46
0
0
20 Mar 2025
Implicit Repair with Reinforcement Learning in Emergent Communication
Implicit Repair with Reinforcement Learning in Emergent Communication
Fábio Vital
A. Sardinha
Francisco S. Melo
39
0
0
18 Feb 2025
VSC-RL: Advancing Autonomous Vision-Language Agents with Variational Subgoal-Conditioned Reinforcement Learning
VSC-RL: Advancing Autonomous Vision-Language Agents with Variational Subgoal-Conditioned Reinforcement Learning
Qingyuan Wu
Jianheng Liu
Haifeng Zhang
Jun Wang
Kun Shao
OffRL
104
0
0
11 Feb 2025
DIPPER: Direct Preference Optimization to Accelerate Primitive-Enabled Hierarchical Reinforcement Learning
DIPPER: Direct Preference Optimization to Accelerate Primitive-Enabled Hierarchical Reinforcement Learning
Utsav Singh
Souradip Chakraborty
Wesley A Suttle
Brian M. Sadler
Vinay P. Namboodiri
Amrit Singh Bedi
OffRL
53
0
0
03 Jan 2025
Embodied CoT Distillation From LLM To Off-the-shelf Agents
Embodied CoT Distillation From LLM To Off-the-shelf Agents
Wonje Choi
Woo Kyung Kim
Minjong Yoo
Honguk Woo
OffRL
LM&Ro
113
2
0
16 Dec 2024
Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations
Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations
Cevahir Köprülü
Po-han Li
Tianyu Qiu
Ruihan Zhao
T. Westenbroek
David Fridovich-Keil
Sandeep P. Chinchali
Ufuk Topcu
OffRL
94
0
0
02 Dec 2024
Hierarchical Preference Optimization: Learning to achieve goals via
  feasible subgoals prediction
Hierarchical Preference Optimization: Learning to achieve goals via feasible subgoals prediction
Utsav Singh
Souradip Chakraborty
Wesley A Suttle
Brian M. Sadler
Anit Kumar Sahu
Mubarak Shah
Vinay P. Namboodiri
Amrit Singh Bedi
49
1
0
01 Nov 2024
GHIL-Glue: Hierarchical Control with Filtered Subgoal Images
GHIL-Glue: Hierarchical Control with Filtered Subgoal Images
Kyle Hatch
Ashwin Balakrishna
Oier Mees
Suraj Nair
Seohong Park
...
Masha Itkina
Benjamin Eysenbach
Sergey Levine
Thomas Kollar
Benjamin Burchfiel
65
2
0
26 Oct 2024
OGBench: Benchmarking Offline Goal-Conditioned RL
OGBench: Benchmarking Offline Goal-Conditioned RL
Seohong Park
Kevin Frans
Benjamin Eysenbach
Sergey Levine
OffRL
50
9
0
26 Oct 2024
Generalization of Compositional Tasks with Logical Specification via
  Implicit Planning
Generalization of Compositional Tasks with Logical Specification via Implicit Planning
Duo Xu
Faramarz Fekri
OffRL
28
1
0
13 Oct 2024
Goal-Conditioned Terminal Value Estimation for Real-time and Multi-task
  Model Predictive Control
Goal-Conditioned Terminal Value Estimation for Real-time and Multi-task Model Predictive Control
Mitsuki Morita
Satoshi Yamamori
Satoshi Yagi
Norikazu Sugimoto
Jun Morimoto
32
0
0
07 Oct 2024
Goal-Reaching Policy Learning from Non-Expert Observations via Effective
  Subgoal Guidance
Goal-Reaching Policy Learning from Non-Expert Observations via Effective Subgoal Guidance
Renming Huang
Shaochong Liu
Yunqiang Pei
Peng Wang
Guoqing Wang
Yang Yang
Hengtao Shen
OffRL
37
0
0
06 Sep 2024
Safe Policy Exploration Improvement via Subgoals
Safe Policy Exploration Improvement via Subgoals
Brian Angulo
G. Gorbov
Aleksandr I. Panov
Konstantin Yakovlev
OffRL
32
0
0
25 Aug 2024
Online Behavior Modification for Expressive User Control of RL-Trained
  Robots
Online Behavior Modification for Expressive User Control of RL-Trained Robots
Isaac S. Sheidlower
Mavis Murdock
Emma Bethel
Reuben M. Aronson
E. Short
OffRL
37
3
0
15 Aug 2024
A Single Goal is All You Need: Skills and Exploration Emerge from
  Contrastive RL without Rewards, Demonstrations, or Subgoals
A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals
Grace Liu
Michael Tang
Benjamin Eysenbach
OffRL
42
1
0
11 Aug 2024
Integrating Controllable Motion Skills from Demonstrations
Integrating Controllable Motion Skills from Demonstrations
Honghao Liao
Zhiheng Li
Ziyu Meng
Ran Song
Yibin Li
Wei Zhang
35
0
0
06 Aug 2024
Autonomous Improvement of Instruction Following Skills via Foundation
  Models
Autonomous Improvement of Instruction Following Skills via Foundation Models
Zhiyuan Zhou
P. Atreya
Abraham Lee
Homer Walke
Oier Mees
Sergey Levine
32
11
0
30 Jul 2024
Learning Goal-Conditioned Representations for Language Reward Models
Learning Goal-Conditioned Representations for Language Reward Models
Vaskar Nath
Dylan Slack
Jeff Da
Yuntao Ma
Hugh Zhang
Spencer Whitehead
Sean Hendryx
32
0
0
18 Jul 2024
Periodic agent-state based Q-learning for POMDPs
Periodic agent-state based Q-learning for POMDPs
Amit Sinha
Mathieu Geist
Aditya Mahajan
28
0
0
08 Jul 2024
Bidirectional-Reachable Hierarchical Reinforcement Learning with
  Mutually Responsive Policies
Bidirectional-Reachable Hierarchical Reinforcement Learning with Mutually Responsive Policies
Yu-Juan Luo
Fuchun Sun
Tianying Ji
Xianyuan Zhan
32
0
0
26 Jun 2024
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making
Vivek Myers
Chongyi Zheng
Anca Dragan
Sergey Levine
Benjamin Eysenbach
OffRL
45
7
0
24 Jun 2024
LGR2: Language Guided Reward Relabeling for Accelerating Hierarchical Reinforcement Learning
LGR2: Language Guided Reward Relabeling for Accelerating Hierarchical Reinforcement Learning
Utsav Singh
Pramit Bhattacharyya
Vinay P. Namboodiri
LM&Ro
47
1
0
09 Jun 2024
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets
Haoran He
C. Chang
Huazhe Xu
Ling Pan
89
6
0
03 Jun 2024
Learning Multimodal Behaviors from Scratch with Diffusion Policy
  Gradient
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient
Zechu Li
Rickmer Krohn
Tao Chen
Anurag Ajay
Pulkit Agrawal
Georgia Chalvatzaki
DiffM
50
9
0
02 Jun 2024
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning
Hyungho Na
IL-Chul Moon
43
1
0
30 May 2024
From Words to Actions: Unveiling the Theoretical Underpinnings of
  LLM-Driven Autonomous Systems
From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems
Jianliang He
Siyu Chen
Fengzhuo Zhang
Zhuoran Yang
LM&Ro
LLMAG
44
2
0
30 May 2024
VICtoR: Learning Hierarchical Vision-Instruction Correlation Rewards for Long-horizon Manipulation
VICtoR: Learning Hierarchical Vision-Instruction Correlation Rewards for Long-horizon Manipulation
Kuo-Han Hung
Pang-Chi Lo
Jia-Fong Yeh
Han-Yuan Hsu
Yi-Ting Chen
Winston H. Hsu
33
0
0
26 May 2024
Constrained Ensemble Exploration for Unsupervised Skill Discovery
Constrained Ensemble Exploration for Unsupervised Skill Discovery
Chenjia Bai
Rushuai Yang
Qiaosheng Zhang
Kang Xu
Yi Chen
Ting Xiao
Xuelong Li
OffRL
40
3
0
25 May 2024
Solving Sequential Manipulation Puzzles by Finding Easier Subproblems
Solving Sequential Manipulation Puzzles by Finding Easier Subproblems
Svetlana Levit
Joaquim Ortiz de Haro
Marc Toussaint
32
4
0
03 May 2024
PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement
  Learning via Hindsight Relabeling
PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling
Utsav Singh
Wesley A Suttle
Brian M Sadler
Vinay P. Namboodiri
Amrit Singh Bedi
30
4
0
20 Apr 2024
Sharing the Cost of Success: A Game for Evaluating and Learning
  Collaborative Multi-Agent Instruction Giving and Following Policies
Sharing the Cost of Success: A Game for Evaluating and Learning Collaborative Multi-Agent Instruction Giving and Following Policies
P. Sadler
Sherzod Hakimov
David Schlangen
LLMAG
39
2
0
26 Mar 2024
Vid2Robot: End-to-end Video-conditioned Policy Learning with
  Cross-Attention Transformers
Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers
Vidhi Jain
Maria Attarian
Nikhil J. Joshi
Ayzaan Wahid
Danny Driess
...
Stefan Welker
Christine Chan
Igor Gilitschenski
Yonatan Bisk
Debidatta Dwibedi
68
29
0
19 Mar 2024
Inference via Interpolation: Contrastive Representations Provably Enable
  Planning and Inference
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
Benjamin Eysenbach
Vivek Myers
Ruslan Salakhutdinov
Sergey Levine
AI4TS
41
8
0
06 Mar 2024
Sample Efficient Myopic Exploration Through Multitask Reinforcement
  Learning with Diverse Tasks
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks
Ziping Xu
Zifan Xu
Runxuan Jiang
Peter Stone
Ambuj Tewari
48
1
0
03 Mar 2024
Foundation Policies with Hilbert Representations
Foundation Policies with Hilbert Representations
Seohong Park
Tobias Kreiman
Sergey Levine
SSL
OffRL
50
19
0
23 Feb 2024
Feudal Networks for Visual Navigation
Feudal Networks for Visual Navigation
Faith Johnson
Bryan Bo Cao
Kristin J. Dana
Shubham Jain
Ashwin Ashok
34
2
0
19 Feb 2024
Single-Reset Divide & Conquer Imitation Learning
Single-Reset Divide & Conquer Imitation Learning
Alexandre Chenu
Olivier Serris
Olivier Sigaud
Nicolas Perrin-Gilbert
40
0
0
14 Feb 2024
Stitching Sub-Trajectories with Conditional Diffusion Model for
  Goal-Conditioned Offline RL
Stitching Sub-Trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL
Sungyoon Kim
Yunseon Choi
Daiki E. Matsunaga
Kee-Eung Kim
OffRL
46
6
0
11 Feb 2024
Learning Communication Policies for Different Follower Behaviors in a
  Collaborative Reference Game
Learning Communication Policies for Different Follower Behaviors in a Collaborative Reference Game
P. Sadler
Sherzod Hakimov
David Schlangen
29
1
0
07 Feb 2024
Sample Efficient Reinforcement Learning by Automatically Learning to
  Compose Subtasks
Sample Efficient Reinforcement Learning by Automatically Learning to Compose Subtasks
Shuai Han
Mehdi Dastani
Shihan Wang
OffRL
52
1
0
25 Jan 2024
Explicit-Implicit Subgoal Planning for Long-Horizon Tasks with Sparse
  Reward
Explicit-Implicit Subgoal Planning for Long-Horizon Tasks with Sparse Reward
Fangyuan Wang
Anqing Duan
Peng Zhou
Shengzeng Huo
Guodong Guo
Chenguang Yang
D. Navarro-Alarcon
OffRL
VLM
33
0
0
25 Dec 2023
Learning Top-k Subtask Planning Tree based on Discriminative
  Representation Pre-training for Decision Making
Learning Top-k Subtask Planning Tree based on Discriminative Representation Pre-training for Decision Making
Jingqing Ruan
Kaishen Wang
Qingyang Zhang
Dengpeng Xing
Bo Xu
33
0
0
18 Dec 2023
ReRoGCRL: Representation-based Robustness in Goal-Conditioned
  Reinforcement Learning
ReRoGCRL: Representation-based Robustness in Goal-Conditioned Reinforcement Learning
Xiangyu Yin
Sihao Wu
Jiaxu Liu
Meng Fang
Xingyu Zhao
Xiaowei Huang
Wenjie Ruan
AAML
38
5
0
12 Dec 2023
SDSRA: A Skill-Driven Skill-Recombination Algorithm for Efficient Policy
  Learning
SDSRA: A Skill-Driven Skill-Recombination Algorithm for Efficient Policy Learning
Eric Hanchen Jiang
Andrew Lizarraga
26
0
0
06 Dec 2023
Learning Agile Locomotion on Risky Terrains
Learning Agile Locomotion on Risky Terrains
Chong Zhang
Nikita Rudin
David Hoeller
Marco Hutter
22
20
0
17 Nov 2023
Learning to Discover Skills through Guidance
Learning to Discover Skills through Guidance
Hyunseung Kim
ByungKun Lee
Hojoon Lee
Dongyoon Hwang
Sejik Park
Kyushik Min
Jaegul Choo
47
6
0
31 Oct 2023
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