Imitation Learning

What Matters for Adversarial Imitation Learning? NeurIPS 2021 Active Imitation Learning with Noisy Guidance ACL 2020 Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach AAAI 2020 A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous Driving AAAI 2020 Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset AAAI 2020 BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps ACL 2020 CLUZH at SIGMORPHON 2020 Shared Task on Multilingual Grapheme-to-Phoneme Conversion ACL 2020 Deep Imitative Models for Flexible Inference, Planning, and Control ICLR 2020 Imitation Learning via Off-Policy Distribution Matching ICLR 2020 Improving Adversarial Text Generation by Modeling the Distant Future ACL 2020 Learning Dialog Policies from Weak Demonstrations ACL 2020 Learning Efficient Dialogue Policy from Demonstrations through Shaping ACL 2020 Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling ICLR 2020 Learning Situational Driving CVPR 2020 Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance AAAI 2020 Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets IJCAI 2020 An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation EMNLP 2019 An Imitation Learning Approach to Unsupervised Parsing ACL 2019 Attention Guided Imitation Learning and Reinforcement Learning AAAI 2019 Compiler Auto-Vectorization with Imitation Learning NeurIPS 2019 Compositional Plan Vectors NeurIPS 2019 Deep imitation learning for molecular inverse problems NeurIPS 2019 DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning EMNLP 2019 Goal-conditioned Imitation Learning NeurIPS 2019 Guided Meta-Policy Search NeurIPS 2019