Alternatives and similar repositories for nip:

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

• thiagopbueno / dbn-pp
  DBN++ Data Structures and Algorithms in C++ for Dynamic Bayesian Networks
  ☆18Updated 8 years ago
• dustinvtran / bayesrl
  A Python library for reinforcement learning using Bayesian approaches
  ☆54Updated 9 years ago
• Riashat / Policy-Gradient-Reinforcement-Learning
  ☆34Updated 8 years ago
• mcastron / BBRL
  BBRL is a C++ open-source library used to compare Bayesian reinforcement learning algorithms
  ☆33Updated 8 years ago
• jinming99 / DGP-IRL
  Deep Gaussian Process for Inverse Reinforcement Learning
  ☆33Updated 7 years ago
• cathywu / rllab-multiagent
  ☆11Updated 2 years ago
• Riashat / Q-Learning-SARSA-Policy-and-Value-Iteration
  Implementation of basic reinforcement learning algorithms (Q-learning, SARSA, Policy iteration and Value Iteration) on benchmark RL MDPs …
  ☆37Updated 8 years ago
• mwhoffman / pygp
  Python package for inference with Gaussian processes
  ☆11Updated 9 years ago
• wulfebw / async_rl
  Python implementation of tabular asynchronous actor critic
  ☆11Updated 8 years ago
• ceshine / RRL_Matlab
  Recurrent Reinforcement Learning Algorithm Matlab Implementation
  ☆47Updated 3 years ago
• siemanko / guided-policy-search
  Implementation is mostly based on Sergey Levine work (http://www.eecs.berkeley.edu/~svlevine/).
  ☆43Updated 10 years ago
• Riashat / Bayesian-Exploration-Deep-RL
  Bayesian Uncertainty Exploration in Deep Reinforcement Learning
  ☆18Updated 7 years ago
• marcino239 / pilco
  Using Pilco algorithm to find a controller for few robotic problems
  ☆43Updated 9 years ago
• martinseilair / learningoptimalcontrol
  Great resources for learning optimal control
  ☆17Updated 5 years ago
• dquail / NonStationaryBandit
  Non stationary bandit for experiments with Reinforcement Learning
  ☆34Updated 7 years ago
• sparisi / td-reg
  TD-Regularized Actor-Critic Methods
  ☆34Updated 5 years ago
• rrti / maxq
  hierarchical Q-learning implementation
  ☆11Updated 9 years ago
• miyosuda / episodic_control
  Model-Free Episodic Control
  ☆15Updated 8 years ago
• pierrelux / notebooks
  An attempt to formalize my thoughts. A pythonic approach to mental housekeeping
  ☆15Updated 8 years ago
• wulfebw / hierarchical_rl
  hierarchical deep reinforcement learning algorithms
  ☆42Updated 7 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆65Updated 7 years ago
• rarilurelo / pcl_keras
  reinforcement learning. policy gradient. PCL
  ☆38Updated 7 years ago
• erensezener / aima-based-irl
  IRL implementation based on Norvig's AIMA code.
  ☆14Updated 10 years ago
• zuoxingdong / DeepPILCO
  ☆53Updated 6 years ago
• RonanFR / UCRL
  ☆26Updated 5 years ago
• iaroslav-ai / gan-rl
  Training Reinforcement Learning agent using derivative of Generative Recurrent Neural Network model of environment
  ☆23Updated 8 years ago
• muratkrty / reinforcement-learning-robot-in-maze
  Matlab/Octave implementation of Reinforcement learning (Q learning algorithm).
  ☆23Updated 5 years ago
• aravindr93 / robustRL
  Robust policy search algorithms which train on model ensembles
  ☆28Updated 8 years ago
• trey0 / zmdp
  Planning algorithms for problems with uncertain world state and action outcomes (POMDP and MDP models)
  ☆52Updated 3 years ago
• sisl / latent_driver
  Jointly learning policies and latent representations for driver behavior.
  ☆15Updated 7 years ago