oh2gxn / nip

Related projects: ⓘ

• Riashat / Policy-Gradient-Reinforcement-Learning
  ☆33Updated 8 years ago
• thiagopbueno / dbn-pp
  DBN++ Data Structures and Algorithms in C++ for Dynamic Bayesian Networks
  ☆16Updated 8 years ago
• dustinvtran / bayesrl
  A Python library for reinforcement learning using Bayesian approaches
  ☆51Updated 9 years ago
• jinming99 / DGP-IRL
  Deep Gaussian Process for Inverse Reinforcement Learning
  ☆33Updated 7 years ago
• cathywu / rllab-multiagent
  ☆11Updated last year
• mcastron / BBRL
  BBRL is a C++ open-source library used to compare Bayesian reinforcement learning algorithms
  ☆33Updated 8 years ago
• siemanko / guided-policy-search
  Implementation is mostly based on Sergey Levine work (http://www.eecs.berkeley.edu/~svlevine/).
  ☆43Updated 9 years ago
• Riashat / Bayesian-Exploration-Deep-RL
  Bayesian Uncertainty Exploration in Deep Reinforcement Learning
  ☆17Updated 7 years ago
• marcino239 / pilco
  Using Pilco algorithm to find a controller for few robotic problems
  ☆44Updated 9 years ago
• wulfebw / async_rl
  Python implementation of tabular asynchronous actor critic
  ☆11Updated 8 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 …
  ☆36Updated 8 years ago
• AlgTUDelft / SolvePOMDP
  Solving POMDPs using exact and approximate methods
  ☆13Updated 7 years ago
• sparisi / td-reg
  TD-Regularized Actor-Critic Methods
  ☆32Updated 4 years ago
• zuoxingdong / DeepPILCO
  ☆54Updated 6 years ago
• TakuyaHiraoka / Multi-Agent-Reinforcement-Learning-in-Stochastic-Games
  Unofficial PyBrain extension for multi-agent reinforcement learning in general sum stochastic games.
  ☆70Updated 8 years ago
• MADPToolbox / MADP
  The Multiagent Decision Process (MADP) Toolbox - planning and learning in multiagent systems.
  ☆76Updated 3 years ago
• ceshine / RRL_Matlab
  Recurrent Reinforcement Learning Algorithm Matlab Implementation
  ☆46Updated 3 years ago
• wulfebw / hierarchical_rl
  hierarchical deep reinforcement learning algorithms
  ☆41Updated 6 years ago
• cjm715 / mgym
  A collection of multi-agent reinforcement learning OpenAI gym environments
  ☆44Updated 4 years ago
• sisl / latent_driver
  Jointly learning policies and latent representations for driver behavior.
  ☆15Updated 7 years ago
• martinseilair / learningoptimalcontrol
  Great resources for learning optimal control
  ☆16Updated 5 years ago
• MickyDowns / deep-theano-rnn-lstm-car
  Pack of Drones: Layered reinforcement learning (Q-learning w/ RNN) for complex "hunt" behaviors
  ☆61Updated 8 years ago
• siemens / policy_search_bb-alpha
  ☆69Updated 6 years ago
• laurimi / npgi
  Non-linear policy graph improvement - planning for Dec-POMDPs
  ☆16Updated 3 years ago
• matheusportela / Multiagent-RL
  Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília
  ☆67Updated 5 years ago
• dquail / NonStationaryBandit
  Non stationary bandit for experiments with Reinforcement Learning
  ☆34Updated 7 years ago
• resibots / blackdrops
  Code for the Black-DROPS algorithm: "Black-Box Data-efficient Policy Search for Robotics", IROS 2017/ICRA 2018
  ☆64Updated 2 years ago
• rmoehn / piglet_pbvi
  Implementation of point-based value iteration (for POMDPs)
  ☆12Updated 4 years ago
• trey0 / zmdp
  Planning algorithms for problems with uncertain world state and action outcomes (POMDP and MDP models)
  ☆51Updated 3 years ago
• muratkrty / reinforcement-learning-robot-in-maze
  Matlab/Octave implementation of Reinforcement learning (Q learning algorithm).
  ☆23Updated 5 years ago