openai / neural-gpu
Code for the Neural GPU model originally described in "Neural GPUs Learn Algorithms"
☆139Updated 6 years ago
Alternatives and similar repositories for neural-gpu:
Users that are interested in neural-gpu are comparing it to the libraries listed below
- ViZDoom Python wrapper☆74Updated last year
- Wikipedia navigation environment for OpenAI Gym☆40Updated last year
- Dataset for the spaceship task from "Metacontrol for Adaptive Imagination-Based Optimization"☆56Updated 8 years ago
- OpenAI Retro Contest☆65Updated last year
- TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"☆84Updated 7 years ago
- Pytorch implementation of DeepMind's differentiable neural computer paper.☆93Updated 7 years ago
- ☆100Updated 8 years ago
- Publicly releasable baselines for the Retro contest☆127Updated 6 years ago
- ☆117Updated 4 years ago
- Skip Context Tree Switching - Reference Implementation☆49Updated 7 years ago
- Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"☆307Updated last year
- A parallel version of Trust Region Policy Optimization☆65Updated 8 years ago
- An implementation of the RL-NTM from http://arxiv.org/abs/1505.00521☆157Updated 9 years ago
- tensorflow reinforcement learning agents for OpenAI gym environments☆113Updated 7 years ago
- Implementation of the Differentiable Neural Computer in Tensorflow☆118Updated 7 years ago
- Add-on package to gym, to record sequences of actions, observations, and rewards☆72Updated last year
- Decoupled Neural Interfaces using Synthetic Gradients for PyTorch☆237Updated 6 years ago
- A Python Interface for the Arcade Learning Environment (Shared Object)☆126Updated 4 years ago
- Progressive matrices dataset, as described in: Measuring abstract reasoning in neural networks (Barrett*, Hill*, Santoro*, Morcos, Lillic…☆176Updated 6 years ago
- Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom☆278Updated 7 years ago
- Training neural networks with back-prop, feedback-alignment and direct feedback-alignment☆103Updated 7 years ago
- Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"☆342Updated 6 years ago
- Guided Evolutionary Strategies☆270Updated last year
- ☆56Updated 6 years ago
- Universal library for deep reinforcement learning.☆38Updated 8 years ago
- Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017☆150Updated 6 months ago
- 🏃 Implementation of Using Fast Weights to Attend to the Recent Past.☆268Updated 6 years ago
- A lua wrapper for the Arcade Learning Environment/xitari.☆34Updated 8 years ago
- Benchmark testbed for assessing the performance of optimisation algorithms☆80Updated 10 years ago
- Code for the paper "Evolved Policy Gradients"☆250Updated 6 years ago