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Imitation Learning

33 papers with code · Methodology

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Latest papers without code

Guiding Policies with Language via Meta-Learning

ICLR 2019 John D. Co-Reyes et al

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

01 May 2019

Simultaneously Learning Vision and Feature-based Control Policies for Real-world Ball-in-a-Cup

13 Feb 2019Devin Schwab et al

We present a method for fast training of vision based control policies on real robots.

IMITATION LEARNING

13 Feb 2019

Artificial Intelligence for Prosthetics - challenge solutions

7 Feb 2019Łukasz Kidziński et al

In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, participants were tasked with building a controller for a musculoskeletal model with a goal of matching a given time-varying velocity vector.

IMITATION LEARNING

07 Feb 2019

Non-Monotonic Sequential Text Generation

5 Feb 2019Sean Welleck et al

Standard sequential generation methods assume a pre-specified generation order, such as text generation methods which generate words from left to right.

IMITATION LEARNING TEXT GENERATION

05 Feb 2019

NAOMI: Non-Autoregressive Multiresolution Sequence Imputation

30 Jan 2019Yukai Liu et al

Missing value imputation is a fundamental problem in modeling spatiotemporal sequences, from motion tracking to the dynamics of physical systems.

IMITATION LEARNING

30 Jan 2019

Imitation Learning from Imperfect Demonstration

27 Jan 2019Yueh-Hua Wu et al

Imitation learning (IL) aims to learn an optimal policy from demonstrations.

IMITATION LEARNING

27 Jan 2019

Evaluation Function Approximation for Scrabble

25 Jan 2019Rishabh Agarwal

The current state-of-the-art Scrabble agents are not learning-based but depend on truncated Monte Carlo simulations and the quality of such agents is contingent upon the time available for running the simulations.

IMITATION LEARNING

25 Jan 2019

Meta-Learning for Contextual Bandit Exploration

ICLR 2019 Amr Sharaf et al

We describe MELEE, a meta-learning algorithm for learning a good exploration policy in the interactive contextual bandit setting.

IMITATION LEARNING META-LEARNING

23 Jan 2019

Hierarchical Reinforcement Learning for Multi-agent MOBA Game

23 Jan 2019Zhijian Zhang et al

Although deep reinforcement learning has achieved great success recently, there are still challenges in Real Time Strategy (RTS) games.

HIERARCHICAL REINFORCEMENT LEARNING IMITATION LEARNING

23 Jan 2019

Visual Imitation Learning with Recurrent Siamese Networks

22 Jan 2019Glen Berseth et al

People solve the difficult problem of understanding the salient features of both observations of others and the relationship to their own state when learning to imitate specific tasks.

IMITATION LEARNING

22 Jan 2019