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Imitation Learning

109 papers with code ยท Methodology

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Predictive Modeling of Periodic Behavior for Human-Robot Symbiotic Walking

27 May 2020

We propose in this paper Periodic Interaction Primitives - a probabilistic framework that can be used to learn compact models of periodic behavior.

IMITATION LEARNING

Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets

19 May 2020

Generative adversarial imitation learning (GAIL) has shown promising results by taking advantage of generative adversarial nets, especially in the field of robot learning.

AUTONOMOUS VEHICLES DATA AUGMENTATION IMITATION LEARNING

Data Driven Aircraft Trajectory Prediction with Deep Imitation Learning

16 May 2020

Towards this goal we present a comprehensive framework comprising the Generative Adversarial Imitation Learning state of the art method, in a pipeline with trajectory clustering and classification methods.

IMITATION LEARNING TRAJECTORY PREDICTION

Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion

5 May 2020

All-day and all-weather navigation is a critical capability for autonomous driving, which requires proper reaction to varied environmental conditions and complex agent behaviors.

AUTONOMOUS DRIVING IMITATION LEARNING SENSOR FUSION

Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation

4 May 2020

The control of nonlinear dynamical systems remains a major challenge for autonomous agents.

IMITATION LEARNING

Improving Adversarial Text Generation by Modeling the Distant Future

4 May 2020

Auto-regressive text generation models usually focus on local fluency, and may cause inconsistent semantic meaning in long text generation.

ADVERSARIAL TEXT IMITATION LEARNING TEXT GENERATION

Off-Policy Adversarial Inverse Reinforcement Learning

3 May 2020

Adversarial Imitation Learning (AIL) is a class of algorithms in Reinforcement learning (RL), which tries to imitate an expert without taking any reward from the environment and does not provide expert behavior directly to the policy training.

CONTINUOUS CONTROL IMITATION LEARNING TRANSFER LEARNING

An Imitation Game for Learning Semantic Parsers from User Interaction

2 May 2020

Despite the widely successful applications, bootstrapping and fine-tuning semantic parsers are still a tedious process with challenges such as costly data annotation and privacy risks.

IMITATION LEARNING TEXT-TO-SQL

Towards Embodied Scene Description

30 Apr 2020

Embodiment is an important characteristic for all intelligent agents (creatures and robots), while existing scene description tasks mainly focus on analyzing images passively and the semantic understanding of the scenario is separated from the interaction between the agent and the environment.

IMITATION LEARNING

Generating Safe Diversity in NLG via Imitation Learning

29 Apr 2020

Our analysis shows that previous methods for diversity underperform in this setting, while human evaluation suggests that our proposed method achieves a high level of diversity with minimal effect to the output's fluency and adequacy.

CONCEPT-TO-TEXT GENERATION IMITATION LEARNING