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Imitation Learning

69 papers with code · Methodology

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Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation

CVPR 2019 extreme-assistant/cvpr2019

Vision-language navigation (VLN) is the task of navigating an embodied agent to carry out natural language instructions inside real 3D environments.

IMITATION LEARNING VISION-LANGUAGE NAVIGATION

Generative Adversarial Imitation Learning

NeurIPS 2016 hill-a/stable-baselines

Consider learning a policy from example expert behavior, without interaction with the expert or access to reinforcement signal.

IMITATION LEARNING

The Arcade Learning Environment: An Evaluation Platform for General Agents

19 Jul 2012mgbellemare/Arcade-Learning-Environment

We illustrate the promise of ALE by developing and benchmarking domain-independent agents designed using well-established AI techniques for both reinforcement learning and planning.

ATARI GAMES BENCHMARKING IMITATION LEARNING TRANSFER LEARNING

Neural Modular Control for Embodied Question Answering

26 Oct 2018facebookresearch/House3D

We use imitation learning to warm-start policies at each level of the hierarchy, dramatically increasing sample efficiency, followed by reinforcement learning.

EMBODIED QUESTION ANSWERING IMITATION LEARNING QUESTION ANSWERING

STARDATA: A StarCraft AI Research Dataset

7 Aug 2017TorchCraft/StarData

We provide full game state data along with the original replays that can be viewed in StarCraft.

IMITATION LEARNING STARCRAFT

Modeling the Long Term Future in Model-Based Reinforcement Learning

ICLR 2019 maximecb/gym-minigrid

This paper focuses on building a model that reasons about the long-term future and demonstrates how to use this for efficient planning and exploration.

IMITATION LEARNING

Guiding Policies with Language via Meta-Learning

ICLR 2019 maximecb/gym-minigrid

However, a single instruction may be insufficient to fully communicate our intent or, even if it is, may be insufficient for an autonomous agent to actually understand how to perform the desired task.

IMITATION LEARNING META-LEARNING

Muscle-actuated Human Simulation and Control

SIGGRAPH 2019 lsw9021/MASS

Many anatomical factors, such as bone geometry and muscle condition, interact to affect human movements.

IMITATION LEARNING

Gated-Attention Architectures for Task-Oriented Language Grounding

22 Jun 2017devendrachaplot/DeepRL-Grounding

To perform tasks specified by natural language instructions, autonomous agents need to extract semantically meaningful representations of language and map it to visual elements and actions in the environment.

IMITATION LEARNING

Self-Imitation Learning

ICML 2018 junhyukoh/self-imitation-learning

This paper proposes Self-Imitation Learning (SIL), a simple off-policy actor-critic algorithm that learns to reproduce the agent's past good decisions.

ATARI GAMES IMITATION LEARNING