- Multi-agent Inverse Reinforcement Learning for Two-person Zero-sum Games
- Comparison of Multi-agent and Single-agent Inverse Learning on a Simulated Soccer Example
- OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning
- Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
- Reinforcement Learning from Imperfect Demonstrations
- Injective State-Image Mapping facilitates Visual Adversarial Imitation Learning
- One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks
- ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst
- Learning Montezuma's Revenge from a Single Demonstration
- Pre-training with Non-expert Human Demonstration for Deep Reinforcement Learning
- Learning a Multi-Modal Policy via Imitatin Demonstrations with Mixed Behaviors
- Reinforced Imitation in Heterogeneous Action Space
- Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation
- Imitation Learning from Video by Leveraging Proprioception
- Recent Advances in Imitation Learning from Observation
- Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards
- Integration of Imitation Learning using GAIL and Reinforcement Learning using Task-achievement Rewards via Probabilistic Graphical Model
- Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations
- Imitation Learning for Human Pose Prediction
- Model Imitation for Model-Based Reinforcement Learning
- DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills
- Learning Plannable Representations with Causal InfoGAN
- Maximum Likelihood Inverse Reinforcement Learning
- Relative Entropy Inverse Reinforcement Learning
- Efficient Reductions for Imitation Learning
- Modeling Purposeful Adaptive Behavior with the Principle of Maximum Causal Entropy
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