guaguakai / surrogate-optimization-learningLinks
☆17Updated 4 years ago
Alternatives and similar repositories for surrogate-optimization-learning
Users that are interested in surrogate-optimization-learning are comparing it to the libraries listed below
Sorting:
- Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"☆17Updated 5 years ago
- TaskMet Task-driven Metric Learning for Model Learning☆19Updated last year
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆34Updated 4 years ago
- Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances☆12Updated 2 years ago
- PreferenceNet: Encoding Human Preferences in Auction Design With Deep Learning☆16Updated 4 years ago
- Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems☆18Updated 2 years ago
- ☆14Updated 6 years ago
- ☆11Updated 3 years ago
- ☆26Updated last year
- An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…☆13Updated 3 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆34Updated 5 years ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆28Updated last year
- JAX/Haiku implementation of "Auction Learning as a Two-Player Game"☆11Updated last year
- Code for NeurIPS2021 submission "A Surrogate Objective Framework for Prediction+Programming with Soft Constraints"☆13Updated 3 years ago
- Representation Learning in RL☆14Updated 3 years ago
- Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"☆36Updated 2 years ago
- Generalised UDRL☆37Updated 3 years ago
- Package for building Market Segmentation Trees, Choice Model Trees, and Isotonic Regression Trees☆17Updated 2 years ago
- Ranking Policy Gradient☆23Updated 5 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆48Updated 6 years ago
- ☆19Updated 4 years ago
- Code for VIREL: A Variational Inference Framework for Reinforcement Learning☆14Updated 5 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆61Updated 2 years ago
- End-to-end distributionally robust optimization☆35Updated 2 years ago
- A general framework for learning spatio-temporal point processes via reinforcement learning☆31Updated 4 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- A Spatio-temporal point process simulator.☆46Updated 2 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- ☆44Updated 3 years ago
- Deconfounding Reinforcement Learning in Observational Settings☆52Updated 6 years ago