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1809.02925
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Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning
9 September 2018
Ilya Kostrikov
Kumar Krishna Agrawal
Debidatta Dwibedi
Sergey Levine
Jonathan Tompson
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Papers citing
"Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning"
50 / 187 papers shown
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Curricular Subgoals for Inverse Reinforcement Learning
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Provably Efficient Adversarial Imitation Learning with Unknown Transitions
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Get Back Here: Robust Imitation by Return-to-Distribution Planning
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B. Tabanpour
Sebastian Curi
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Gabriel Dulac-Arnold
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Olivier Pietquin
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155
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A Coupled Flow Approach to Imitation Learning
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83
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Learning Representative Trajectories of Dynamical Systems via Domain-Adaptive Imitation
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61
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98
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Optimal Transport for Offline Imitation Learning
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106
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Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching
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Chiaki Hirayama
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84
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Tianyuan Liu
Shengyi Jiang
Rui Chen
Zongzhang Zhang
Yang Yu
123
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Jyothish Pari
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110
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71
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Hsiang-Chun Wang
Ming-Hao Hsu
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Shao-Hua Sun
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158
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Kai-xiang Chen
Bin Li
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80
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103
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Visual Imitation Learning with Patch Rewards
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Zhongwen Xu
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109
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Tian Xu
Y. Yu
Zhixun Luo
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64
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DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training
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Thomy Phan
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Thomas Gabor
Claudia Linnhoff-Popien
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Learning from Guided Play: Improving Exploration for Adversarial Imitation Learning with Simple Auxiliary Tasks
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Bryan Chan
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150
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Accelerating Self-Imitation Learning from Demonstrations via Policy Constraints and Q-Ensemble
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77
1
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imitation: Clean Imitation Learning Implementations
Adam Gleave
Mohammad Taufeeque
Juan Rocamonde
Erik Jenner
Steven H. Wang
Sam Toyer
M. Ernestus
Nora Belrose
Scott Emmons
Stuart J. Russell
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138
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Julien Mairal
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29
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Robust Imitation via Mirror Descent Inverse Reinforcement Learning
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Hyunseok Kim
Hyun-Dong Lee
Je-hwan Ryu
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82
3
0
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Task Phasing: Automated Curriculum Learning from Demonstrations
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Guni Sharon
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87
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Qifeng Chen
Yang Gao
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Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees
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Chenliang Li
Alfredo García
Min-Fong Hong
126
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João F. Henriques
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96
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Proximal Point Imitation Learning
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Angeliki Kamoutsi
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123
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58
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Understanding Adversarial Imitation Learning in Small Sample Regime: A Stage-coupled Analysis
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Ziniu Li
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Zhimin Luo
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Target-absent Human Attention
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56
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Discriminator-Guided Model-Based Offline Imitation Learning
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Haoran Xu
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Ming Li
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Xianyuan Zhan
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Watch and Match: Supercharging Imitation with Regularized Optimal Transport
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Denis Yarats
Lerrel Pinto
122
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Latent Policies for Adversarial Imitation Learning
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Nikhil Karnwal
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54
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Rui Zhao
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102
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Whiyoung Jung
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Sungho Choi
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