Alternatives and similar repositories for rhc:

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

• ethanluoyc / e2c-pytorch
  E2C implementation in PyTorch
  ☆43Updated 7 years ago
• ericjang / e2c
  TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
  ☆65Updated 8 years ago
• nnaisense / MAX
  Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
  ☆78Updated 5 years ago
• facebookresearch / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆93Updated 5 years ago
• ctallec / continuous-rl
  ☆20Updated 5 years ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 3 years ago
• KyriacosShiarli / taco
  ☆25Updated 6 years ago
• zuoxingdong / DeepPILCO
  ☆53Updated 7 years ago
• DartML / PPO-Stein-Control-Variate
  Proximal Policy Optimization with Stein Control Variates:
  ☆33Updated 7 years ago
• Santara / stochastic_value_gradient
  Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]
  ☆26Updated 3 years ago
• russellmendonca / GMPS
  Guided-Meta Policy Search
  ☆41Updated 2 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 6 years ago
• mcgillmrl / prob_mbrl
  A library of probabilistic model based RL algorithms in pytorch
  ☆108Updated 3 years ago
• aravindsrinivas / upn
  ☆33Updated 6 years ago
• joeybose / FloRL
  Implicit Normalizing Flows + Reinforcement Learning
  ☆60Updated 5 years ago
• sharadmv / parasol
  ☆68Updated 3 years ago
• justinjfu / diagnosing_qlearning
  Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.
  ☆19Updated 5 years ago
• neitzal / adaptive-skip-intervals
  Implementation of the paper "Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models"
  ☆23Updated 6 years ago
• rddy / isql
  Inferring beliefs about dynamics from behavior
  ☆28Updated 6 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆50Updated 6 years ago
• ElisevanderPol / PRAE
  Plannable Approximations to MDP Homomorphisms: Equivariance under Actions
  ☆29Updated 4 years ago
• orybkin / video-gcp
  Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"
  ☆44Updated 2 years ago
• Feryal / craft-env
  ☆44Updated 6 years ago
• kindredresearch / arp
  Autoregressive policies for continuous control reinforcement learning
  ☆29Updated 5 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated 6 months ago
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆31Updated 3 years ago
• WilsonWangTHU / POPLIN
  ☆97Updated last year
• facebookresearch / adversarially-motivated-intrinsic-goals
  This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
  ☆61Updated last year
• febert / visual_mpc
  Visual MPC implementation running on Rethink Sawyer Robot
  ☆61Updated 5 years ago
• joelouismarino / amortized-variational-filtering
  PyTorch implementation of AVF
  ☆45Updated 4 years ago