Lunj12 / RL-Bandits-with-KnapsacksLinks
Dynamic Pricing BwK Problem and Reinforcement Learning
☆31Updated 6 years ago
Alternatives and similar repositories for RL-Bandits-with-Knapsacks
Users that are interested in RL-Bandits-with-Knapsacks are comparing it to the libraries listed below
Sorting:
- ☆26Updated 4 years ago
- Hierarchical deep reinforcement learning for combinatorial optimization problem☆36Updated 5 years ago
- The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'☆84Updated 4 years ago
- ☆35Updated 5 years ago
- Reinforcement learning environment for job scheduling written in python.☆25Updated 5 years ago
- A Python library for addressing the supply chain inventory management problem using deep reinforcement learning algorithms.☆95Updated last year
- Implementation of inventory control policy parameters computation algorithms☆19Updated 3 years ago
- The code for the SRDQN algorithm to train an agent for the beer game problem☆81Updated 2 years ago
- ☆20Updated 3 years ago
- Link to paper: https://www.ssrn.com/abstract=3804655☆13Updated 4 years ago
- Code for the paper "Smart 'Predict, then Optimize'"☆81Updated last year
- Order Fulfillment by Multi-Agent Reinforcement Learning☆24Updated last year
- The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.☆28Updated 7 years ago
- reinforcement learning with pytorch geometric library☆49Updated 3 years ago
- ☆14Updated last year
- An OpenAI Gym environment for Inventory Control problems☆55Updated 5 years ago
- MIE424 Group Project: smart_predict_optimize☆14Updated 4 years ago
- ☆17Updated 6 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆99Updated 2 years ago
- Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"☆39Updated last year
- An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…☆13Updated 3 years ago
- Reinforcement Learning for Optimal inventory policy☆31Updated 3 years ago
- ☆41Updated 3 weeks ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆71Updated 5 years ago
- Combining Evolutionary Algorithms and deep Reinforcement Learning☆17Updated 7 years ago
- Official codes for "Multi-Agent Deep Reinforcement Learning for Multi-Echelon Inventory Management: Reducing Costs and Alleviating Bullwh…☆43Updated 2 years ago
- ☆10Updated 4 years ago
- ☆33Updated 4 years ago
- ☆57Updated 8 months ago
- Learning to solve Minimum Vertex Cover using Graph Convolutional Networks and RL☆77Updated 6 years ago