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Imitation Learning

45 papers with code · Methodology

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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 IMITATION LEARNING TRANSFER LEARNING

Neural Modular Control for Embodied Question Answering

26 Oct 2018facebookresearch/House3D

Independent reinforcement learning at each level of hierarchy enables sub-policies to adapt to consequences of their actions and recover from errors.

EMBODIED QUESTION ANSWERING IMITATION LEARNING QUESTION ANSWERING

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

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

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

Go-Explore: a New Approach for Hard-Exploration Problems

30 Jan 2019uber-research/go-explore

Go-Explore can also harness human-provided domain knowledge and, when augmented with it, scores a mean of over 650k points on Montezuma's Revenge.

IMITATION LEARNING MONTEZUMA'S REVENGE

Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems

HLT 2018 google-research-datasets/simulated-dialogue

To address this challenge, we propose a hybrid imitation and reinforcement learning method, with which a dialogue agent can effectively learn from its interaction with users by learning from human teaching and feedback.

DIALOGUE STATE TRACKING IMITATION LEARNING TASK-ORIENTED DIALOGUE SYSTEMS

InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations

NeurIPS 2017 YunzhuLi/InfoGAIL

The goal of imitation learning is to mimic expert behavior without access to an explicit reward signal.

IMITATION LEARNING

Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow

ICLR 2019 akanimax/Variational_Discriminator_Bottleneck

By enforcing a constraint on the mutual information between the observations and the discriminator's internal representation, we can effectively modulate the discriminator's accuracy and maintain useful and informative gradients.

CONTINUOUS CONTROL IMAGE GENERATION IMITATION LEARNING