Alternatives and similar repositories for nhrlmodel

Users that are interested in nhrlmodel are comparing it to the libraries listed below

• ericjang / e2c
  TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
  ☆64Updated 9 years ago
• eringrant / spirl-readings
  A collection of reading material for the Workshop on "Structure & Priors in Reinforcement Learning" (SPiRL) at ICLR 2019.
  ☆13Updated 4 years ago
• iosband / TabulaRL
  ☆65Updated last year
• google-deepmind / dm_hard_eight
  ☆84Updated 4 years ago
• dustinvtran / bayesrl
  A Python library for reinforcement learning using Bayesian approaches
  ☆54Updated 10 years ago
• awjuliani / successor_examples
  Tutorials on learning and using successor representations.
  ☆52Updated 5 years ago
• florensacc / snn4hrl
  Stochastic Neural Networks for Hierarchical Reinforcement Learning
  ☆95Updated 7 years ago
• brain-research / mirage-rl
  Code to reproduce the experiments in The Mirage of Action-Dependent Baselines in Reinforcement Learning.
  ☆17Updated 7 years ago
• facebookresearch / adversarially-motivated-intrinsic-goals
  This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
  ☆64Updated 2 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆67Updated 7 years ago
• ilyasu123 / trpo
  ☆19Updated 9 years ago
• tmoer / multimodal_varinf
  Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".
  ☆35Updated 7 years ago
• bstadie / krazyworld
  krazy grid world
  ☆25Updated 5 years ago
• wojzaremba / trpo
  ☆101Updated 9 years ago
• RonanFR / UCRL
  ☆27Updated 6 years ago
• wulfebw / hierarchical_rl
  hierarchical deep reinforcement learning algorithms
  ☆41Updated 7 years ago
• cmdowney / psrnn
  Predictive State Recurrent Neural Networks
  ☆18Updated 5 years ago
• Ardavans / DSR
  ☆96Updated 9 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆51Updated 6 years ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 4 years ago
• ethanluoyc / e2c-pytorch
  E2C implementation in PyTorch
  ☆43Updated 8 years ago
• mgbellemare / SkipCTS
  Skip Context Tree Switching - Reference Implementation
  ☆51Updated 8 years ago
• kvfrans / parallel-trpo
  A parallel version of Trust Region Policy Optimization
  ☆65Updated 8 years ago
• makokal / MDPN
  Unified notation for Markov Decision Processes PO(MDP)s
  ☆24Updated 7 years ago
• EndingCredits / Neural-Episodic-Control
  Implementation of Deepmind's Neural Episodic Control
  ☆58Updated 7 years ago
• pathak22 / exploration-by-disagreement
  [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement
  ☆127Updated 6 years ago
• mcmachado / options
  ☆43Updated 8 years ago
• chrodan / tdlearn
  some common TD Learning algorithms
  ☆66Updated 5 years ago
• uber-research / backpropamine
  Train self-modifying neural networks with neuromodulated plasticity
  ☆78Updated 5 years ago
• Nat-D / FeatureControlHRL
  Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
  ☆80Updated 7 years ago