mechanism-learning-research / two-player-auctions
JAX/Haiku implementation of "Auction Learning as a Two-Player Game"
☆9Updated 8 months ago
Alternatives and similar repositories for two-player-auctions:
Users that are interested in two-player-auctions are comparing it to the libraries listed below
- Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"☆17Updated 5 years ago
- Multi-agent active perception with prediction rewards☆11Updated 4 years ago
- Representation Learning in RL☆16Updated 2 years ago
- Generalised UDRL☆37Updated 2 years ago
- Variational Reinforcement Learning☆16Updated 8 months ago
- Bayesian Uncertainty Exploration in Deep Reinforcement Learning☆18Updated 7 years ago
- Code for doubly stochastic gradients☆25Updated 10 years ago
- TaskMet Task-driven Metric Learning for Model Learning☆19Updated last year
- Contextual Bandits Action Elimination DQN☆21Updated 6 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- ☆19Updated 3 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- ☆17Updated 4 years ago
- Code used in our paper "Robust Deep Reinforment Learning through Adversarial Loss"☆32Updated last year
- Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)☆34Updated 4 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆28Updated 2 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆29Updated 2 years ago
- A Framework for Equilibrium Learning in Sealed-Bid Auctions☆24Updated 2 years ago
- An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…☆13Updated 3 years ago
- implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies☆11Updated 4 years ago
- ☆12Updated 2 years ago
- PreferenceNet: Encoding Human Preferences in Auction Design With Deep Learning☆15Updated 3 years ago
- Scalable Computation of Hessian Diagonals☆13Updated 9 months ago
- Code for Continual Reinforcement Learning with Multi-Timescale Replay☆22Updated 4 years ago
- Implementation of "POPCORN: Partially Observed Prediction Constrained Reinforcement Learning" (Futoma, Hughes, Doshi-Velez, AISTATS 2020)☆11Updated 3 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances☆12Updated 2 years ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated last year
- ☆13Updated 5 years ago
- Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)☆43Updated 4 years ago