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
• Santara / stochastic_value_gradient
  Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]
  ☆26Updated 3 years ago
• befelix / lyapunov-learning
  Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes
  ☆38Updated 5 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆56Updated 6 years ago
• sparisi / td-reg
  TD-Regularized Actor-Critic Methods
  ☆36Updated 5 years ago
• StanfordASL / CoCo
  ☆36Updated 2 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 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
• rmoehn / piglet_pbvi
  Implementation of point-based value iteration (for POMDPs)
  ☆12Updated 5 years ago
• hari-sikchi / safeRL
  Safe Reinforcement Learning algorithms
  ☆74Updated 2 years ago
• saybuser / HD-MILP-Plan
  Hybrid Deep MILP Planner
  ☆14Updated 2 years ago
• vignesh-viswanathan / Bayesian-Stackelberg-Games
  The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.
  ☆28Updated 6 years ago
• anqif / chancecons
  Chance constraints in CVXPY
  ☆18Updated 6 years ago
• Bellman-devs / bellman
  Model-based reinforcement learning in TensorFlow
  ☆56Updated 3 years ago
• martius-lab / CombOptNet
  Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
  ☆73Updated 3 years ago
• AlgTUDelft / SolvePOMDP
  Solving POMDPs using exact and approximate methods
  ☆13Updated 7 years ago
• locuslab / robust-nn-control
  Enforcing robust control guarantees within neural network policies
  ☆53Updated 4 years ago
• hoangminhle / MultiAgent-ImitationLearning
  Code for training policies based on paper Coordinated Multi-Agent Imitation Learning
  ☆26Updated 7 years ago
• aravindsrinivas / neural-mpc
  ☆73Updated 4 years ago
• FedUni / MORL
  Multi-Objective Reinforcement Learning components built on top of RL glue components
  ☆29Updated 2 years ago
• jgeisler0303 / DDP-Generator
  Generate taylored code for Differential Dynamic Programming (DDP) aka Iterative Linear Quadratic Gaussian (iLQG) solvers for finite time …
  ☆15Updated 7 years ago
• zuoxingdong / DeepPILCO
  ☆54Updated 7 years ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆33Updated 4 years ago
• qxcv / asnets
  Source for Action Schema Networks paper (AAAI'18)
  ☆31Updated 2 years ago
• quanvuong / Supervised_Policy_Update
  Code to reproduce Supervised Policy Update (ICLR 2019)
  ☆17Updated 2 years ago
• jinming99 / DGP-IRL
  Deep Gaussian Process for Inverse Reinforcement Learning
  ☆33Updated 7 years ago
• befelix / Safe-RL-Benchmark
  A library to benchmark reinforcement learning algorithms
  ☆21Updated 7 years ago
• RonanFR / UCRL
  ☆27Updated 6 years ago
• JuliaPOMDP / BasicPOMCP.jl
  The PO-UCT algorithm (aka POMCP) implemented in Julia
  ☆37Updated 2 months ago
• locuslab / stable_dynamics
  Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
  ☆33Updated 5 years ago