331 papers with code • 0 benchmarks • 1 datasets

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Use these libraries to find Navigate models and implementations


Most implemented papers

DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames

facebookresearch/habitat-api ICLR 2020

We leverage this scaling to train an agent for 2. 5 Billion steps of experience (the equivalent of 80 years of human experience) -- over 6 months of GPU-time training in under 3 days of wall-clock time with 64 GPUs.

Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning

shehzaadzd/MINERVA ICLR 2018

Knowledge bases (KB), both automatically and manually constructed, are often incomplete --- many valid facts can be inferred from the KB by synthesizing existing information.

Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

agrimgupta92/sgan CVPR 2018

Understanding human motion behavior is critical for autonomous moving platforms (like self-driving cars and social robots) if they are to navigate human-centric environments.

ViZDoom Competitions: Playing Doom from Pixels

mwydmuch/ViZDoom 10 Sep 2018

The results of the competition lead to the conclusion that, although reinforcement learning can produce capable Doom bots, they still are not yet able to successfully compete against humans in this game.

Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning

mfe7/cadrl_ros 4 May 2018

This work extends our previous approach to develop an algorithm that learns collision avoidance among a variety of types of dynamic agents without assuming they follow any particular behavior rules.

Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

vita-epfl/DyNav 24 Sep 2018

We propose to (i) rethink pairwise interactions with a self-attention mechanism, and (ii) jointly model Human-Robot as well as Human-Human interactions in the deep reinforcement learning framework.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better

KupynOrest/DeblurGANv2 ICCV 2019

We present a new end-to-end generative adversarial network (GAN) for single image motion deblurring, named DeblurGAN-v2, which considerably boosts state-of-the-art deblurring efficiency, quality, and flexibility.

Embodied Question Answering

facebookresearch/House3D CVPR 2018

We present a new AI task -- Embodied Question Answering (EmbodiedQA) -- where an agent is spawned at a random location in a 3D environment and asked a question ("What color is the car?").

Meta-Learning through Hebbian Plasticity in Random Networks

enajx/HebbianMetaLearning NeurIPS 2020

We find that starting from completely random weights, the discovered Hebbian rules enable an agent to navigate a dynamical 2D-pixel environment; likewise they allow a simulated 3D quadrupedal robot to learn how to walk while adapting to morphological damage not seen during training and in the absence of any explicit reward or error signal in less than 100 timesteps.

Learning to Navigate in Cities Without a Map

deepmind/streetlearn NeurIPS 2018

We present an interactive navigation environment that uses Google StreetView for its photographic content and worldwide coverage, and demonstrate that our learning method allows agents to learn to navigate multiple cities and to traverse to target destinations that may be kilometres away.