Alternatives and similar repositories for E2C-pytorch

Users that are interested in E2C-pytorch are comparing it to the libraries listed below

• shikharbahl / neural-dynamic-policies
  ☆70Updated 4 years ago
• fusion-ml / trajectory-information-rl
  Bayesian active RL (BARL) and trajectory information planning (TIP)
  ☆25Updated 2 years ago
• anindex / mpot
  Implementation of Motion Planning via Optimal Transport (MPOT) in PyTorch, NeurIPS 2023.
  ☆60Updated last year
• martius-lab / iCEM
  improved Cross Entropy Method for trajectory optimization
  ☆79Updated 3 years ago
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆33Updated 2 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆40Updated 2 years ago
• jaztsong / PILCO-gpytorch
  ☆35Updated 5 years ago
• robotgradient / iflow
  ☆22Updated 4 years ago
• eager-dev / eager
  [deprecated] Engine Agnostic Gym Environment for Robotics
  ☆16Updated 3 years ago
• LemonPi / pytorch_cem
  Cross Entropy Method implemented in pytorch
  ☆38Updated 3 years ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆56Updated 2 years ago
• aravindr93 / trajopt
  Trajectory optimization algorithms for robotic control.
  ☆110Updated 2 years ago
• facebookresearch / entity-factored-rl
  Source code for the paper "Policy Architectures for Compositional Generalization in Control"
  ☆30Updated 3 years ago
• Bellman-devs / bellman
  Model-based reinforcement learning in TensorFlow
  ☆56Updated 4 years ago
• ElisevanderPol / mdp-homomorphic-networks
  ☆29Updated 4 years ago
• natolambert / continuousprediction
  Formulating Model-based RL Dynamics as a continuous rather then one step prediction
  ☆35Updated 2 years ago
• homangab / gradcem
  Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
  ☆68Updated 5 years ago
• tseyde / decqn
  ☆36Updated 2 years ago
• oist-cnru / Variational-Recurrent-Models
  Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…
  ☆55Updated 4 years ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆81Updated 2 years ago
• ZhengyaoJiang / latentplan
  Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
  ☆109Updated 2 years ago
• ikostrikov / dmcgym
  ☆23Updated 2 years ago
• tdmpc2 / tdmpc2-eval
  Evaluation of TD-MPC2.
  ☆22Updated last year
• boschresearch / ube-mbrl
  Model-Based Uncertainty in Value Functions (AISTATS2023)
  ☆17Updated 2 years ago
• NVlabs / sim-parameter-estimation
  The code accompaniment for the CoRL 2020 paper: A User's Guide to Calibrating Robotics Simulators (https://arxiv.org/abs/2011.08985), fro…
  ☆30Updated 4 years ago
• kyonofx / tia
  [ICML 2021] Learning Task Informed Abstractions -- a representation learning approach for model-based RL in complex visual domains
  ☆18Updated 4 years ago
• edlanglois / mbbl-pilco
  Implementation of PILCO for the Model-Based Baselines Project
  ☆18Updated 6 years ago
• tmdt-buw / karolos
  An Open-Source Reinforcement Learning Framework for Robot-Task Environments
  ☆22Updated 2 years ago
• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆52Updated 3 years ago
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆70Updated 3 weeks ago