Alternatives and similar repositories for learningoptimalcontrol

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

• kindredresearch / arp
  Autoregressive policies for continuous control reinforcement learning
  ☆32Updated 6 years ago
• zuoxingdong / DeepPILCO
  ☆54Updated 7 years ago
• neka-nat / ddp-gym
  Differential Dynamic Programming controller operating in OpenAI Gym environment.
  ☆87Updated 5 years ago
• young-j-park / 18-NeurIPS-APIAE
  ☆21Updated 6 years ago
• sisl / mechamodlearn
  Structured framework for learning mechanical systems in PyTorch
  ☆27Updated 6 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 6 years ago
• BerkeleyAutomation / DART
  ☆49Updated 5 years ago
• rddy / isql
  Inferring beliefs about dynamics from behavior
  ☆30Updated 7 years ago
• mcgillmrl / prob_mbrl
  A library of probabilistic model based RL algorithms in pytorch
  ☆107Updated 4 years ago
• StanfordASL / AA203-Notes
  Course notes for AA203
  ☆153Updated 5 years ago
• resibots / blackdrops
  Code for the Black-DROPS algorithm: "Black-Box Data-efficient Policy Search for Robotics", IROS 2017/ICRA 2018
  ☆66Updated 4 years ago
• aravindsrinivas / neural-mpc
  ☆73Updated 5 years ago
• AdaCompNUS / qmdp-net
  QMDP-Net implementation
  ☆65Updated 5 years ago
• StanfordASL / SNDL
  Stabilizable Nonlinear Dynamics Learning
  ☆22Updated 6 years ago
• Santara / stochastic_value_gradient
  Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]
  ☆25Updated 3 years ago
• MinRegret / TigerControl
  Google AI Princeton control framework
  ☆39Updated 5 years ago
• MarcToussaint / AI-lectures
  Lecture notes, slides and scripts (LaTeX sources) in AI, Robotics, Machine Learning, Maths, Optimization
  ☆132Updated 10 months ago
• rddy / deepassist
  Shared autonomy via deep reinforcement learning
  ☆80Updated 2 years ago
• Pearl-UTexas / ActiveVaR
  Code for CORL'18 paper "Risk-Aware Active Inverse Reinforcement Learning"
  ☆16Updated 6 years ago
• russellmendonca / GMPS
  Guided-Meta Policy Search
  ☆39Updated 2 years ago
• tmoer / multimodal_varinf
  Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".
  ☆35Updated 7 years ago
• righetti / optlearningcontrol
  ROB-GY 6323 Reinforcement learning and optimal control for robotics
  ☆116Updated this week
• MinRegret / deluca
  Performant, differentiable reinforcement learning
  ☆23Updated 2 years ago
• homangab / gradcem
  Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
  ☆68Updated 5 years ago
• yuqingd / sim2real2sim_rad
  ☆57Updated 3 years ago
• Stanford-ILIAD / batch-active-preference-based-learning
  Companion code to CoRL 2018 paper: E Bıyık, D Sadigh. "Batch Active Preference-Based Learning of Reward Functions". Conference on Robot L…
  ☆30Updated 6 years ago
• danfeiX / model-based-papers
  My reading list for model-based control
  ☆161Updated 6 years ago
• eric-heiden / deep-rl-docker
  Docker image with OpenAI Gym, Baselines, MuJoCo and Roboschool, utilizing TensorFlow and JupyterLab.
  ☆46Updated 6 years ago
• MahanFathi / iLQG-MuJoCo
  Iterative LQG for a couple of MuJoCo models
  ☆61Updated 3 years ago
• gkahn13 / CAPs
  ☆32Updated 7 years ago