Browse > Methodology > Imitation Learning

Imitation Learning

53 papers with code · Methodology

State-of-the-art leaderboards

No evaluation results yet. Help compare methods by submit evaluation metrics.

Greatest papers with code

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

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

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

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

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