← Learning Types
Deep Learning › Learning Types ›

Imitation Learning

125 directly classified papers

Papers per year

Papers

Learning Dialog Policies from Weak Demonstrations ACL 2020
Active Imitation Learning with Noisy Guidance ACL 2020
Improving Adversarial Text Generation by Modeling the Distant Future ACL 2020
A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous Driving AAAI 2020
Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach AAAI 2020
Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance AAAI 2020
CLUZH at SIGMORPHON 2020 Shared Task on Multilingual Grapheme-to-Phoneme Conversion ACL 2020
Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset AAAI 2020
Learning Situational Driving CVPR 2020
BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps ACL 2020
Learning Efficient Dialogue Policy from Demonstrations through Shaping ACL 2020
Attention Guided Imitation Learning and Reinforcement Learning AAAI 2019
Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning EMNLP 2019
DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning EMNLP 2019
Learning to request guidance in emergent language EMNLP 2019
Seeded self-play for language learning EMNLP 2019
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks AAAI 2019
Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution AAAI 2019
Compositional Plan Vectors NIPS 2019
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables NIPS 2019
Deep imitation learning for molecular inverse problems NIPS 2019
Goal-conditioned Imitation Learning NIPS 2019
Compiler Auto-Vectorization with Imitation Learning NIPS 2019
Guided Meta-Policy Search NIPS 2019
Leveraging Experience in Lazy Search RSS 2019