NataliaDiaz / Egoshots
A 2 month Ego-vision Dataset with Autographer Wearable Camera and 2 users
☆11Updated 4 years ago
Alternatives and similar repositories for Egoshots:
Users that are interested in Egoshots are comparing it to the libraries listed below
- CVPR'17 Spotlight: What’s in a Question: Using Visual Questions as a Form of Supervision☆43Updated 6 years ago
- A collection of reading material for the Workshop on "Structure & Priors in Reinforcement Learning" (SPiRL) at ICLR 2019.☆13Updated 3 years ago
- ☆24Updated 9 years ago
- Codebase of Santara et. al., RAIL: Risk Averse Imitation Learning, Published in AAMAS 2018☆14Updated 3 years ago
- Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley☆42Updated 7 years ago
- ☆32Updated 7 years ago
- Tensorflow implementation of the map reading algorithm described in ‘Teaching a Machine to Read Maps with Deep Reinforcement Learning’☆31Updated 7 years ago
- Implementation of various Reinforcement Learning Algorithms☆27Updated 7 years ago
- Models built with TensorFlow☆25Updated 6 years ago
- Recurrent Neural Network - A curated list of resources dedicated to RNN☆10Updated 9 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆30Updated 6 years ago
- Unsupervised Perceptual Rewards for Imitation Learning☆11Updated 7 years ago
- Tutorial on continuous control at Reinforcement Learning Summer School 2017.☆34Updated 7 years ago
- TensorFlow A2C to solve Acrobot, with synchronized parallel environments☆35Updated 6 years ago
- Incremental Methods of Deep Learning for Detection and Classifcation in a Robotics Environment☆12Updated 6 years ago
- Code for the blog post on few-shot classification via task representation and communication.☆18Updated 7 years ago
- These will be public notes for courses that I'm self-studying.☆26Updated 4 years ago
- A repo containing links of various tutorials, courses, and papers I've read at some point of time.☆7Updated 7 years ago
- These are experiments for examining reproducibility in Policy Gradient RL algorithms in Continuous domains. Mainly using the Rllab implem…☆17Updated 7 years ago
- Distributed Tensorflow Implementation of Asynchronous Methods for Deep Reinforcement Learning☆29Updated 7 years ago
- ☆17Updated 7 years ago
- ☆30Updated 7 years ago
- Learning to walk with genetic algorithms by optimizing a truncated Fourier series, applied to a realistic bio-mechanical model of the hum…☆36Updated 7 years ago
- Deep Learning methods for semantic segmentation with weakly labelled data☆16Updated 8 years ago
- Implementation is mostly based on Sergey Levine work (http://www.eecs.berkeley.edu/~svlevine/).☆42Updated 10 years ago
- a library for deep reinforcement learning, with applications for navigation☆16Updated 7 years ago
- Torch7 impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆42Updated 9 years ago
- Learning RNN Hierarchies☆44Updated 8 years ago
- Collection of tutorials, exercises and papers on RL☆17Updated 7 years ago
- ☆14Updated 5 years ago