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Papers
Improving Reward Model Generalization from Adversarial Process Enhanced Preferences
ICML 2025
POI Recommendation via Multi-Objective Adversarial Imitation Learning
AAAI 2025
Adversarial Imitation Learning via Boosting
ICLR 2024
DiffAIL: Diffusion Adversarial Imitation Learning
AAAI 2024
Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation
NeurIPS 2024
Sample-efficient Adversarial Imitation Learning
JMLR 2024
Adversarial Imitation Learning with Preferences
ICLR 2023
Policy Contrastive Imitation Learning
ICML 2023
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning
AAAI 2023
Visual Imitation Learning with Patch Rewards
ICLR 2023
ARC - Actor Residual Critic for Adversarial Imitation Learning
CoRL 2022
Planning for Sample Efficient Imitation Learning
NeurIPS 2022
Robust Imitation via Mirror Descent Inverse Reinforcement Learning
NeurIPS 2022
Visual Adversarial Imitation Learning using Variational Models
NeurIPS 2021
What Matters for Adversarial Imitation Learning?
NeurIPS 2021
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization
NeurIPS 2020
Combating False Negatives in Adversarial Imitation Learning (Student Abstract)
AAAI 2020
Positive-Unlabeled Reward Learning
CoRL 2020
Third-Person Imitation Learning via Image Difference and Variational Discriminator Bottleneck (Student Abstract)
AAAI 2020
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning
ICLR 2019
Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection
AAAI 2019
Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling
NeurIPS 2019
End-to-End Differentiable Adversarial Imitation Learning
ICML 2017