Alternatives and similar repositories for Tokamak-Plasma-Operation-Control-based-on-RL

Users that are interested in Tokamak-Plasma-Operation-Control-based-on-RL are comparing it to the libraries listed below

• xiangyuan-zhang / controlgym
  Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms
  ☆43Updated last year
• jaem-seo / AI_tokamak_control
  AI design of tokamak operation for autonomous control of fusion plasma.
  ☆22Updated 2 years ago
• fusion-ml / OCBO
  Offline Contextual Bayesian Optimization
  ☆14Updated last year
• billtubbs / gym-CartPole-bt-v0
  A modified version of the cart-pole OpenAI Gym environment for testing different control policies
  ☆13Updated 10 months ago
• ElisevanderPol / symmetrizer
  ☆31Updated 4 years ago
• zhengdao-chen / SRNN
  Symplectic Recurrent Neural Networks
  ☆28Updated 2 years ago
• dynamicslab / hydrogym
  An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.
  ☆72Updated this week
• Bellman-devs / bellman
  Model-based reinforcement learning in TensorFlow
  ☆56Updated 3 years ago
• bwfbowen / muax
  A project that provides help for using DeepMind's mctx on gym-style environments.
  ☆60Updated 6 months ago
• cagatayyildiz / oderl
  Experiment code for "Continuous-Time Model-Based Reinforcement Learning"
  ☆53Updated last year
• acyclics / MPO
  Pytorch implementation of "Maximum a Posteriori Policy Optimization" with Retrace for Discrete gym environments
  ☆27Updated 4 years ago
• Physics-aware-AI / DiffCoSim
  By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …
  ☆36Updated 2 years ago
• nzolman / sindy-rl
  Code for "SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning" by Zolman et al.
  ☆123Updated 4 months ago
• jaem-seo / KSTAR_tokamak_simulator
  A tokamak (nuclear fusion reactor) simulator with LSTM-based neural network (KSTAR-NN)
  ☆73Updated last year
• druidowm / OccamNet_Public
  ☆19Updated 2 years ago
• CampusAI / Hamiltonian-Generative-Networks
  Re-implementation of Hamiltonian Generative Networks paper
  ☆33Updated 2 years ago
• google-deepmind / dm_hamiltonian_dynamics_suite
  ☆34Updated 3 years ago
• MahanFathi / HJxB
  Continuous-Time/State/Action Fitted Value Iteration via Hamilton-Jacobi-Bellman (HJB)
  ☆15Updated 3 years ago
• ivandariojr / LyapunovLearning
  ☆39Updated last year
• lukebhan / PDEControlGym
  This gym provides implementations of various PDEs for easy testing and comparison of data-driven and classical PDE control algorithms.
  ☆27Updated 3 weeks ago
• sebascuri / hucrl
  ☆30Updated last year
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆55Updated last year
• Physics-aware-AI / Symplectic-ODENet
  ☆45Updated 4 years ago
• mfinzi / constrained-hamiltonian-neural-networks
  ☆107Updated 4 years ago
• stweigand / gym-pomdp-wrappers
  POMDP wrappers for OpenAI Gym
  ☆15Updated 5 years ago
• DiffEqML / torchcontrol
  A PyTorch library for all things nonlinear control and reinforcement learning.
  ☆46Updated 3 years ago
• manantomar / Mirror-Descent-Policy-Optimization
  Mirror Descent Policy Optimization
  ☆38Updated 4 years ago
• NPLawrence / stochastic_dynamics
  Almost Surely Stable Deep Dynamics [NeurIPS 2020]
  ☆13Updated 2 years ago
• moratodpg / imp_marl
  IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
  ☆42Updated 9 months ago
• d-biswa / Symplectic-ODENet
  ☆15Updated 4 years ago