neeharperi / PreferenceNetLinks
PreferenceNet: Encoding Human Preferences in Auction Design With Deep Learning
☆16Updated 3 years ago
Alternatives and similar repositories for PreferenceNet
Users that are interested in PreferenceNet are comparing it to the libraries listed below
Sorting:
- JAX/Haiku implementation of "Auction Learning as a Two-Player Game"☆10Updated 11 months ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 3 years ago
- Code for NeurIPS 2021 paper: "Invariant Causal Imitation Learning for Generalizable Policies" by I. Bica, D. Jarrett, M. van der Schaar☆27Updated 3 years ago
- Multi-agent active perception with prediction rewards☆11Updated 4 years ago
- Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)☆43Updated 4 years ago
- Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"☆17Updated 5 years ago
- An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…☆14Updated 3 years ago
- ☆17Updated 4 years ago
- Implementation of "POPCORN: Partially Observed Prediction Constrained Reinforcement Learning" (Futoma, Hughes, Doshi-Velez, AISTATS 2020)☆12Updated 4 years ago
- Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.☆29Updated last year
- MIE424 Group Project: smart_predict_optimize☆14Updated 4 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆22Updated 2 years ago
- (ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices☆23Updated 4 years ago
- Dynamic Pricing BwK Problem and Reinforcement Learning☆31Updated 6 years ago
- Code used in our paper "Robust Deep Reinforment Learning through Adversarial Loss"☆33Updated last year
- Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.☆47Updated 4 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Implicit Distributional Actor Critic☆11Updated 3 years ago
- ☆40Updated 6 years ago
- ☆43Updated 3 years ago
- Project on Causal Machine learning CS 7290☆16Updated 5 years ago
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Updated 2 years ago
- Implementation of importance sampling, direct, and hybrid methods for off-policy evaluation.☆16Updated 5 years ago
- ☆26Updated 4 years ago
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆42Updated 4 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Updated 2 years ago
- ☆16Updated 6 years ago
- The code for experiments conducted to verify the correctness of mirror learning.☆11Updated 3 years ago
- ☆32Updated 6 years ago
- Repository containing code for getting statistical guarantees on properties of BNNs☆13Updated 6 years ago