Alternatives and similar repositories for Model-based-Reinforcement-Learning

Users that are interested in Model-based-Reinforcement-Learning are comparing it to the libraries listed below

• fusion-ml / trajectory-information-rl
  Bayesian active RL (BARL) and trajectory information planning (TIP)
  ☆24Updated 3 years ago
• ZikangXiong / MFNLC
  [IROS 22'] Model-free Neural Lyapunov Control
  ☆27Updated 2 years ago
• dnandha / mopac
  Model Predictive Actor-Critic Reinforcement Learning
  ☆67Updated 4 years ago
• SafeRL-Lab / Uncertainty-in-RL
  The repository is for Reinforcement-Learning Uncertainty research, in which we investigate various uncertain factors in RL.
  ☆23Updated 2 years ago
• homangab / gradcem
  Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
  ☆68Updated 5 years ago
• aravindsrinivas / neural-mpc
  ☆73Updated 5 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆41Updated 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 last year
• HJReachability / safety_rl
  ☆30Updated 4 years ago
• ossamaAhmed / blackbox_mpc
  Sampling based Model Predictive Control package for Model-Based RL research
  ☆55Updated 5 years ago
• i-abr / TorchMPC
  Pytorch implementation of Model Predictive Control with learned models
  ☆30Updated 5 years ago
• UtkarshMishra04 / DMD-MPC-RL
  This repository contains the code for our paper on Dynamic Mirror Descent based MPC for Model-Free RL
  ☆26Updated 3 years ago
• Yusufma03 / DPFRL
  Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations (ICLR 2020)
  ☆27Updated 4 years ago
• omron-sinicx / action-constrained-RL-benchmark
  ☆25Updated last year
• pairlab / d2rl
  Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"
  ☆39Updated 4 years ago
• GuanyaShi / Online-Meta-Adaptive-Control
  ☆58Updated 4 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 4 months ago
• MahanFathi / Model-Based-RL
  Model-based Policy Gradients
  ☆32Updated 5 years ago
• tesslerc / ActionRobustRL
  Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…
  ☆48Updated 6 years ago
• liuzuxin / safe-mbrl
  Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method
  ☆67Updated 2 years ago
• natolambert / continuousprediction
  Formulating Model-based RL Dynamics as a continuous rather then one step prediction
  ☆36Updated 3 years ago
• unstable-zeros / learning-cbfs
  Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Li…
  ☆73Updated 2 years ago
• wisnunugroho21 / reinforcement_learning_v_mpo
  Deep Reinforcement Learning by using an on-policy adaptation of Maximum a Posteriori Policy Optimization (MPO)
  ☆17Updated 4 years ago
• hiwonjoon / IROS2021_SORS
  ☆12Updated 4 years ago
• AliBaheri / Safe-Reinforcement-Learning
  The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.
  ☆51Updated 7 years ago
• NotAnyMike / HRL
  Hierarchical Reinforcement Learning (batteries included)
  ☆47Updated 6 years ago
• BerkeleyAutomation / rlqp
  Accelerating Quadratic Optimization with Reinforcement Learning
  ☆94Updated 4 years ago
• clvrai / coordination
  Learning to Coordinate Manipulation Skills via Skill Behavior Diversification (ICLR 2020)
  ☆49Updated 3 years ago
• polixir / causal-mbrl
  Toolkit of Causal Model-based Reinforcement Learning.
  ☆32Updated 2 years ago
• abalakrishna123 / recovery-rl
  Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.
  ☆59Updated 2 years ago