jerrylin1121 / cross_entropy_method

Related projects ⓘ

Alternatives and complementary repositories for cross_entropy_method

• sebascuri / hucrl
  ☆30Updated last year
• locuslab / robust-nn-control
  Enforcing robust control guarantees within neural network policies
  ☆54Updated 3 years ago
• liuzuxin / safe-mbrl
  Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method
  ☆62Updated last year
• HJDQN / HJQ
  PyTorch Implementation of Hamilton-Jacobi DQN
  ☆14Updated 3 years ago
• akifumi-wachi-4 / safe_near_optimal_mdp
  Safe Reinforcement Learning in Constrained Markov Decision Processes
  ☆55Updated 4 years ago
• befelix / safe-exploration
  Safe Exploration with MPC and Gaussian process models
  ☆89Updated 4 years ago
• aravindsrinivas / neural-mpc
  ☆67Updated 4 years ago
• zaiyan-x / RFQI
  Implementation of Robust Reinforcement Learning using Offline Data [NeurIPS'22]
  ☆22Updated 2 weeks ago
• befelix / lyapunov-learning
  Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes
  ☆38Updated 4 years ago
• Bellman-devs / bellman
  Model-based reinforcement learning in TensorFlow
  ☆54Updated 3 years ago
• oscarkey / constrained-cem-mpc
  An MPC algorithm which supports polytopic state and action constraints, using CEM optimisation.
  ☆13Updated 5 years ago
• hanyas / trajopt
  A toolbox for trajectory optimization of dynamical systems
  ☆50Updated 2 years ago
• Pdbz199 / koopman-rl
  High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…
  ☆9Updated this week
• jaztsong / PILCO-gpytorch
  ☆33Updated 4 years ago
• moratodpg / imp_marl
  IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
  ☆35Updated 2 months ago
• yardenas / la-mbda
  LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization
  ☆32Updated last year
• billtubbs / gym-CartPole-bt-v0
  A modified version of the cart-pole OpenAI Gym environment for testing different control policies
  ☆13Updated 4 months ago
• SimonRennotte / Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control
  Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…
  ☆129Updated last year
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆55Updated last year
• locuslab / stable_dynamics
  Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
  ☆32Updated 4 years ago
• befelix / Safe-RL-Benchmark
  A library to benchmark reinforcement learning algorithms
  ☆21Updated 6 years ago
• cagatayyildiz / oderl
  Experiment code for "Continuous-Time Model-Based Reinforcement Learning"
  ☆47Updated 11 months ago
• StanfordASL / BaRC
  Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoo…
  ☆12Updated 6 years ago
• tesslerc / ActionRobustRL
  Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…
  ☆41Updated 5 years ago
• siekmanj / r2l
  Recurrent continuous reinforcement learning algorithms implemented in Pytorch.
  ☆50Updated 3 years ago
• adi3e08 / Physics_Informed_Model_Based_RL
  We learn the dynamics model of a robot using a physics-informed neural network and use it to train a model-based RL algorithm.
  ☆29Updated 5 months ago
• WilsonWangTHU / POPLIN
  ☆97Updated last year
• dnandha / mopac
  Model Predictive Actor-Critic Reinforcement Learning
  ☆52Updated 3 years ago
• Stanford-ILIAD / active-preference-based-gpr
  Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"
  ☆39Updated 8 months ago
• pairlab / vagram
  [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.
  ☆24Updated last year