locuslab / e2e-model-learningLinks
Task-based end-to-end model learning in stochastic optimization
☆208Updated 4 years ago
Alternatives and similar repositories for e2e-model-learning
Users that are interested in e2e-model-learning are comparing it to the libraries listed below
Sorting:
- Input Convex Neural Networks☆294Updated 6 years ago
- Reinforcement learning for energy systems☆180Updated last month
- ☆69Updated 7 years ago
- in progress☆108Updated 8 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆140Updated 9 years ago
- Deep Gaussian Processes in matlab☆93Updated 3 years ago
- Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"☆39Updated 6 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 8 years ago
- Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al☆218Updated 6 years ago
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆33Updated 4 years ago
- A platform of grid world that supports up to 1 million reinforcement-learning agents.☆69Updated 7 years ago
- Combining deep learning and reinforcement learning.☆80Updated 3 years ago
- Non stationary bandit for experiments with Reinforcement Learning☆34Updated 8 years ago
- What My Deep Model Doesn't Know...☆116Updated 9 years ago
- Asymmetric Transfer Learning with Deep Gaussian Processes☆18Updated 10 years ago
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆151Updated 2 years ago
- A working implementation of the Categorical DQN (Distributional RL).☆96Updated 7 years ago
- ☆67Updated 7 years ago
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 10 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 7 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆152Updated 7 years ago
- State space modeling with recurrent neural networks☆45Updated 7 years ago
- ☆27Updated 6 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆35Updated 6 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- A branch-and-bound ILP solver☆26Updated 6 years ago
- ☆65Updated 5 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- for learning reinforcement learning using PyTorch.☆64Updated 5 years ago
- reinforcement learning. policy gradient. PCL☆37Updated 8 years ago