wuga214 / PAPER_NIPS17_ScalablePlanning_TensorflowLinks
Tensorflow is not only an well designed deep learning toolbox, but also a standard symbolic programming framework. In this repository, we show how to use tensorflow to do classical planning task on deterministic, continous action, continous space problems.
☆12Updated 7 years ago
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
Sorting:
- The code of paper "Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming." published on …☆10Updated 7 years ago
- Hybrid Deep MILP Planner☆14Updated 3 years ago
- Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes☆39Updated 6 years ago
- Solving POMDPs using exact and approximate methods☆14Updated 8 years ago
- Source code for the examples accompanying the paper "Learning convex optimization control policies."☆85Updated 3 years ago
- Enforcing robust control guarantees within neural network policies☆55Updated 4 years ago
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆72Updated 3 years ago
- An open-source MATLAB® ADMM solver for partially decomposable conic optimization programs.☆67Updated 6 years ago
- Online solver based on Monte Carlo tree search for POMDPs with continuous state, action, and observation spaces.☆56Updated 2 weeks ago
- Source for Action Schema Networks paper (AAAI'18)☆32Updated 2 years ago
- A CVXPY extension for handling nonconvex QCQP via Suggest-and-Improve framework☆117Updated 5 years ago
- Safe Reinforcement Learning algorithms☆75Updated 3 years ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆33Updated 5 years ago
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆34Updated 4 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- TD-Regularized Actor-Critic Methods☆35Updated 5 years ago
- The Machine Learning Optimizer☆106Updated 2 years ago
- Automatically exported from code.google.com/p/rddlsim☆55Updated last year
- Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]☆25Updated 3 years ago
- Stabilizable Nonlinear Dynamics Learning☆22Updated 6 years ago
- ☆37Updated 2 years ago
- Code that translates grammar into PDDL, runs a planner to produce multiple plans, translates plans into trainable lale pipelines and trai…☆18Updated 2 months ago
- Implementation of point-based value iteration (for POMDPs)☆12Updated 5 years ago
- Reachability Analysis of Deep Neural Networks with Provable Guarantees☆36Updated 5 years ago
- The PO-UCT algorithm (aka POMCP) implemented in Julia☆36Updated 2 weeks ago
- Chance constraints in CVXPY☆19Updated 6 years ago
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆84Updated 6 years ago
- ADMM for Mixed-Integer Quadratic Programming☆43Updated 9 years ago
- Cone program refinement☆10Updated 5 years ago
- Bayes-Adaptive Monte-Carlo Planning algorithm☆17Updated 12 years ago