YRussac / WeightedLinearBanditsLinks
Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"
☆17Updated 5 years ago
Alternatives and similar repositories for WeightedLinearBandits
Users that are interested in WeightedLinearBandits are comparing it to the libraries listed below
Sorting:
- Ranking Policy Gradient☆23Updated 5 years ago
- Bayesian Uncertainty Exploration in Deep Reinforcement Learning☆18Updated 7 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Updated 2 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆34Updated 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
- Robust policy search algorithms which train on model ensembles☆28Updated 8 years ago
- paper list in the area of reinforcenment learning for recommendation systems☆24Updated 4 years ago
- ☆17Updated 4 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- ☆30Updated 4 years ago
- Non-stationary Off-policy Evaluation☆13Updated 6 years ago
- Contextual Bandits Action Elimination DQN☆21Updated 6 years ago
- Code implementation of: "Graying the black box: Understanding DQNs"☆20Updated 8 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- Code used in our paper "Robust Deep Reinforment Learning through Adversarial Loss"☆33Updated last year
- ☆34Updated 4 years ago
- ☆86Updated 10 months ago
- In Progress : State of the art Distributed Distributional Deep Deterministic Policy Gradient algorithm implementation in pytorch.☆19Updated 6 years ago
- ☆8Updated 7 years ago
- A collection of the pytorch implementation of neural bandit algorithm includes neuralUCB(Neural Contextual Bandits with UCB-based Explora…☆17Updated 3 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆29Updated 2 years ago
- Toy environment set for multi-agent reinforcement learning and more☆38Updated 6 months ago
- Dead-ends and Secure Exploration in Reinforcement Learning☆11Updated 6 years ago
- Study NeuralUCB and regret analysis for contextual bandit with neural decision☆95Updated 3 years ago
- Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)☆34Updated 4 years ago
- Code for doubly stochastic gradients☆25Updated 10 years ago
- Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings☆96Updated 6 years ago
- Deconfounding Reinforcement Learning in Observational Settings☆51Updated 6 years ago
- ☆26Updated 5 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago