drasmuss / nhrlmodel
Neural model of hierarchical reinforcement learning
☆16Updated 7 years ago
Alternatives and similar repositories for nhrlmodel:
Users that are interested in nhrlmodel are comparing it to the libraries listed below
- A collection of reading material for the Workshop on "Structure & Priors in Reinforcement Learning" (SPiRL) at ICLR 2019.☆13Updated 3 years ago
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆65Updated 8 years ago
- Code to reproduce the results in the "Unsupervised Learning of Goal Spaces for Intrinsically Motivated Exploration"☆21Updated 7 years ago
- The implementation of "The Kanerva Machine" with Pytorch and Pyro☆12Updated 6 years ago
- krazy grid world☆25Updated 5 years ago
- ☆43Updated 8 years ago
- Tutorials on learning and using successor representations.☆50Updated 5 years ago
- Implementation of Deepmind's Neural Episodic Control☆58Updated 6 years ago
- ☆19Updated 8 years ago
- ☆65Updated last year
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆35Updated 6 years ago
- Surprise-based intrinsic motivation for deep reinforcement learning☆20Updated 8 years ago
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 9 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆44Updated last year
- Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆80Updated 7 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆97Updated 6 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- hierarchical deep reinforcement learning algorithms☆41Updated 7 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- ☆44Updated 6 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 6 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- ☆25Updated 6 years ago
- Code accompanying the OptionGAN paper.☆43Updated 6 years ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Updated 3 years ago
- Nengo library of additional extensions☆29Updated last year
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 4 years ago
- ☆85Updated 4 years ago
- Skip Context Tree Switching - Reference Implementation☆49Updated 7 years ago