Alternatives and similar repositories for PAPER_NIPS17_ScalablePlanning_Tensorflow

Users that are interested in PAPER_NIPS17_ScalablePlanning_Tensorflow are comparing it to the libraries listed below

• wuga214 / PAPER_IJCAI17_HybridPlanning_NeuralNetwork_MILP
  The code of paper "Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming." published on …
  ☆10Updated 7 years ago
• qxcv / asnets
  Source for Action Schema Networks paper (AAAI'18)
  ☆31Updated 2 years ago
• saybuser / HD-MILP-Plan
  Hybrid Deep MILP Planner
  ☆14Updated 2 years ago
• IBM / grammar2pddl
  Code that translates grammar into PDDL, runs a planner to produce multiple plans, translates plans into trainable lale pipelines and trai…
  ☆18Updated 3 months ago
• martius-lab / CombOptNet
  Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
  ☆72Updated 3 years ago
• AlgTUDelft / SolvePOMDP
  Solving POMDPs using exact and approximate methods
  ☆14Updated 8 years ago
• befelix / lyapunov-learning
  Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes
  ☆39Updated 5 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 years ago
• locuslab / robust-nn-control
  Enforcing robust control guarantees within neural network policies
  ☆54Updated 4 years ago
• qcappart / learning-DD
  Implementation of the paper "Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning".
  ☆27Updated 5 years ago
• Santara / stochastic_value_gradient
  Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]
  ☆25Updated 3 years ago
• cvxgrp / qcqp
  A CVXPY extension for handling nonconvex QCQP via Suggest-and-Improve framework
  ☆117Updated 5 years ago
• hari-sikchi / safeRL
  Safe Reinforcement Learning algorithms
  ☆74Updated 3 years ago
• RonanFR / UCRL
  ☆27Updated 6 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 6 years ago
• cvxgrp / cocp
  Source code for the examples accompanying the paper "Learning convex optimization control policies."
  ☆84Updated 2 years ago
• sparisi / td-reg
  TD-Regularized Actor-Critic Methods
  ☆36Updated 5 years ago
• acguez / bamcp
  Bayes-Adaptive Monte-Carlo Planning algorithm
  ☆17Updated 12 years ago
• TrustAI / DeepGO
  Reachability Analysis of Deep Neural Networks with Provable Guarantees
  ☆36Updated 5 years ago
• bstellato / mlopt
  The Machine Learning Optimizer
  ☆105Updated 2 years ago
• emmaajordan / EvaluationOfRLAlgs
  This repository contains the code used in the paper Evaluating the Performance of Reinformcent Learning Algorithms
  ☆28Updated 4 years ago
• zuoxingdong / DeepPILCO
  ☆54Updated 7 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆51Updated 6 years ago
• rmoehn / piglet_pbvi
  Implementation of point-based value iteration (for POMDPs)
  ☆12Updated 5 years ago
• martinResearch / PySparseLP
  python algorithms to solve sparse linear programming problems
  ☆31Updated 2 years ago
• PythonOptimizers / NLP.py
  A Python environment for large-scale optimization.
  ☆30Updated 7 years ago
• MADPToolbox / MADP
  The Multiagent Decision Process (MADP) Toolbox - planning and learning in multiagent systems.
  ☆82Updated 4 years ago
• ssanner / rddlsim
  Automatically exported from code.google.com/p/rddlsim
  ☆55Updated last year
• locuslab / stable_dynamics
  Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
  ☆33Updated 5 years ago
• caelan / pyplanners
  AI planners written in Python
  ☆33Updated 4 years ago