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Option-Aware Adversarial Inverse Reinforcement Learning for Robotic
  Control

Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control

5 October 2022
Jiayu Chen
Tian-Shing Lan
Vaneet Aggarwal
    BDL
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Papers citing "Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control"

12 / 12 papers shown
Title
Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors
Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors
Jingyang Ke
Feiyang Wu
Jiyi Wang
Jeffrey Markowitz
Anqi Wu
96
0
0
22 Jan 2025
IDIL: Imitation Learning of Intent-Driven Expert Behavior
IDIL: Imitation Learning of Intent-Driven Expert Behavior
Sangwon Seo
Vaibhav Unhelkar
31
3
0
25 Apr 2024
Global Convergence Guarantees for Federated Policy Gradient Methods with
  Adversaries
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries
Swetha Ganesh
Jiayu Chen
Gugan Thoppe
Vaneet Aggarwal
FedML
66
1
0
15 Mar 2024
GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via
  Stationary Distribution Correction Estimation
GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation
Abhinav Jain
Vaibhav Unhelkar
OffRL
27
4
0
17 Dec 2023
Multi-intention Inverse Q-learning for Interpretable Behavior
  Representation
Multi-intention Inverse Q-learning for Interpretable Behavior Representation
Hao Zhu
Brice de la Crompe
Gabriel Kalweit
Artur Schneider
M. Kalweit
Ilka Diester
Joschka Boedecker
OffRL
AI4CE
26
5
0
23 Nov 2023
Every Parameter Matters: Ensuring the Convergence of Federated Learning
  with Dynamic Heterogeneous Models Reduction
Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction
Hanhan Zhou
Tian-Shing Lan
Guru Venkataramani
Wenbo Ding
37
28
0
12 Oct 2023
CasIL: Cognizing and Imitating Skills via a Dual Cognition-Action
  Architecture
CasIL: Cognizing and Imitating Skills via a Dual Cognition-Action Architecture
Zixuan Chen
Ze Ji
Shuyang Liu
Jing Huo
Yiyu Chen
Yang Gao
13
1
0
28 Sep 2023
Statistically Efficient Variance Reduction with Double Policy Estimation
  for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learning
Statistically Efficient Variance Reduction with Double Policy Estimation for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learning
Hanhan Zhou
Tian-Shing Lan
Vaneet Aggarwal
OffRL
35
4
0
28 Aug 2023
Hierarchical Deep Counterfactual Regret Minimization
Hierarchical Deep Counterfactual Regret Minimization
Jiayu Chen
Tian-Shing Lan
Vaneet Aggarwal
16
2
0
27 May 2023
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning
Jiayu Chen
Dipesh Tamboli
Tian-Shing Lan
Vaneet Aggarwal
31
12
0
22 May 2023
A Unified Algorithm Framework for Unsupervised Discovery of Skills based
  on Determinantal Point Process
A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process
Jiayu Chen
Vaneet Aggarwal
Tian-Shing Lan
21
3
0
01 Dec 2022
Scalable Multi-Task Imitation Learning with Autonomous Improvement
Scalable Multi-Task Imitation Learning with Autonomous Improvement
Avi Singh
Eric Jang
A. Irpan
Daniel Kappler
Murtaza Dalal
Sergey Levine
Mohi Khansari
Chelsea Finn
53
35
0
25 Feb 2020
1