Alternatives and similar repositories for gradcem

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

• aravindsrinivas / neural-mpc
  ☆73Updated 5 years ago
• natolambert / dynamicslearn
  Working directory for dynamics learning for experimental robots.
  ☆57Updated 4 years ago
• liuzuxin / safe-mbrl
  Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method
  ☆67Updated 2 years ago
• dnandha / mopac
  Model Predictive Actor-Critic Reinforcement Learning
  ☆68Updated 4 years ago
• natolambert / continuousprediction
  Formulating Model-based RL Dynamics as a continuous rather then one step prediction
  ☆36Updated 3 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆41Updated 3 years ago
• hejia-zhang / awesome-model-based-reinforcement-learning
  A curated list of awesome Model-based reinforcement learning resources
  ☆95Updated 5 years ago
• WilsonWangTHU / POPLIN
  ☆99Updated 2 years ago
• ferreirafabio / mppi_pendulum
  The reimplementation of Model Predictive Path Integral (MPPI) from the paper "Information Theoretic MPC for Model-Based Reinforcement Lea…
  ☆104Updated 5 months ago
• neka-nat / ddp-gym
  Differential Dynamic Programming controller operating in OpenAI Gym environment.
  ☆87Updated 5 years ago
• famura / SimuRLacra
  reinforcement learning from randomized simulations
  ☆68Updated 8 months ago
• Stanford-ILIAD / active-preference-based-gpr
  Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"
  ☆39Updated last year
• edlanglois / mbbl-pilco
  Implementation of PILCO for the Model-Based Baselines Project
  ☆18Updated 6 years ago
• dsbrown1331 / bayesianrex
  ☆21Updated 4 years ago
• VincentYu68 / policy_transfer
  ☆30Updated 5 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 6 years ago
• mcgillmrl / prob_mbrl
  A library of probabilistic model based RL algorithms in pytorch
  ☆107Updated 4 years ago
• info-structures / ais
  This repository contains the code for RL for POMDPs through learning an Approximate Information State.
  ☆21Updated last week
• sebascuri / hucrl
  ☆32Updated 2 years ago
• Yusufma03 / DPFRL
  Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations (ICLR 2020)
  ☆27Updated 4 years ago
• locuslab / robust-nn-control
  Enforcing robust control guarantees within neural network policies
  ☆55Updated 4 years ago
• jonasrothfuss / model_ensemble_meta_learning
  Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm
  ☆44Updated 7 years ago
• zhihanyang2022 / off-policy-continuous-control
  Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)
  ☆90Updated 2 years ago
• aravindr93 / trajopt
  Trajectory optimization algorithms for robotic control.
  ☆116Updated 3 years ago
• i-abr / TorchMPC
  Pytorch implementation of Model Predictive Control with learned models
  ☆30Updated 5 years ago
• Bellman-devs / bellman
  Model-based reinforcement learning in TensorFlow
  ☆56Updated 4 years ago
• montrealrobotics / active-domainrand
  Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)
  ☆101Updated 4 years ago
• kindredresearch / arp
  Autoregressive policies for continuous control reinforcement learning
  ☆32Updated 6 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 4 months ago
• ElisevanderPol / mdp-homomorphic-networks
  ☆30Updated 4 years ago