KMarino / hrl-ep3
Code for our paper: Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies
☆15Updated 6 years ago
Alternatives and similar repositories for hrl-ep3:
Users that are interested in hrl-ep3 are comparing it to the libraries listed below
- Explore the optimization landscape for direct policy learning reinforcement learning.☆50Updated 6 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 4 years ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Updated 3 years ago
- A collection of reading material for the Workshop on "Structure & Priors in Reinforcement Learning" (SPiRL) at ICLR 2019.☆13Updated 3 years ago
- Public Release of Plan2vec Implementation in pyTorch☆56Updated 2 years ago
- Inferring beliefs about dynamics from behavior☆29Updated 6 years ago
- E2C implementation in PyTorch☆43Updated 7 years ago
- Code to reproduce the results in the "Unsupervised Learning of Goal Spaces for Intrinsically Motivated Exploration"☆21Updated 7 years ago
- mplementation of Advantage Actor Critic (A2C) and Proximal Policy Optimization Algorithm (PPO) use the advantages of Tensorflow 2.x.☆9Updated 4 years ago
- Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).☆21Updated 6 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Variational Reinforcement Learning☆16Updated 7 months ago
- Code to reproduce the results of "Curiosity Driven Exploration of Learned Disentangled Goal Spaces"☆19Updated 6 years ago
- Solving reinforcement learning tasks which require language and vision☆32Updated last year
- The implementation of "The Kanerva Machine" with Pytorch and Pyro☆12Updated 6 years ago
- Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future☆50Updated 5 years ago
- Ranking Policy Gradient☆23Updated 5 years ago
- Code accompanying the OptionGAN paper.☆43Updated 6 years ago
- ☆35Updated 6 years ago
- ☆25Updated 6 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-…☆35Updated 5 years ago
- Reward Learning by Simulating the Past☆44Updated 5 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- A2C for GVG-AI☆21Updated 6 years ago
- Code Release for Task Agnostic Dynamics Priors for Deep Reinforcement Learning☆12Updated 5 years ago
- Robust policy search algorithms which train on model ensembles☆28Updated 8 years ago
- Implementation of Random Expert Distillation☆29Updated 5 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆33Updated 5 years ago
- Plannable Approximations to MDP Homomorphisms: Equivariance under Actions☆29Updated 4 years ago