shuaili8 / Bandit_book_solutionsLinks
☆13Updated 2 years ago
Alternatives and similar repositories for Bandit_book_solutions
Users that are interested in Bandit_book_solutions are comparing it to the libraries listed below
Sorting:
- ☆11Updated 4 years ago
- Pytorch implementation of BEAR in "Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction"☆11Updated 5 years ago
- ☆27Updated 5 years ago
- ☆18Updated 6 years ago
- ☆99Updated 4 years ago
- Code for "A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising" WSDM 2022☆23Updated 3 years ago
- Implementation of A Context-Integrated Transformer-Based Neural Network for Auction Design (ICML2022).☆17Updated 2 years ago
- A curated list on papers about combinatorial multi-armed bandit problems.☆18Updated 4 years ago
- ☆34Updated 4 years ago
- paper list in the area of reinforcenment learning for recommendation systems☆24Updated 4 years ago
- Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"☆17Updated 5 years ago
- FEN Code☆38Updated 5 years ago
- ☆32Updated 9 months ago
- A new paper list for multi-agent reinforcement learning (actively maintained)☆24Updated 5 years ago
- WIP implementation of https://arxiv.org/pdf/1901.08162.pdf☆9Updated 5 years ago
- ☆32Updated 2 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
- A Multi-agent Learning Framework☆62Updated 4 years ago
- Meta-Reinforcement Learning with Policy Residual Representation☆11Updated 5 years ago
- Reinforcement Learning Seminar at the Chinese University of Hong Kong, Shenzhen, China.☆20Updated last year
- ☆86Updated 10 months ago
- Must-read papers on Reinforcement Learning (RL)☆50Updated 4 years ago
- Representation Learning in RL☆15Updated 3 years ago
- Deconfounding Reinforcement Learning in Observational Settings☆52Updated 6 years ago
- Theory of Reinforcement Learning☆16Updated 4 years ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆71Updated 5 years ago
- Solutions for CS294-112 Fall2018 assignments in Pytorch☆20Updated 6 years ago
- ☆25Updated 3 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆34Updated 5 years ago
- Source code for the paper "Divergence-Augmented Policy Optimization"☆37Updated 5 years ago