bramdemoor-BE / Reward-shaping-to-improve-the-performance-of-DRL-in-inventory-managementLinks
Link to paper: https://www.ssrn.com/abstract=3804655
☆14Updated 4 years ago
Alternatives and similar repositories for Reward-shaping-to-improve-the-performance-of-DRL-in-inventory-management
Users that are interested in Reward-shaping-to-improve-the-performance-of-DRL-in-inventory-management are comparing it to the libraries listed below
Sorting:
- ☆22Updated 4 years ago
- ☆14Updated 2 years ago
- Implementation of inventory control policy parameters computation algorithms☆19Updated 3 years ago
- Dynamic Pricing BwK Problem and Reinforcement Learning☆31Updated 6 years ago
- Hierarchical deep reinforcement learning for combinatorial optimization problem☆35Updated 6 years ago
- ☆12Updated 4 years ago
- Official codes for "Multi-Agent Deep Reinforcement Learning for Multi-Echelon Inventory Management: Reducing Costs and Alleviating Bullwh…☆54Updated 3 years ago
- The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.☆29Updated 7 years ago
- A library for mean-field games.☆56Updated last week
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆59Updated 5 years ago
- ☆13Updated 3 years ago
- The code for the SRDQN algorithm to train an agent for the beer game problem☆84Updated 2 years ago
- A set of algorithms and environments to train SafeRL agents, written in TensorFlow2 and OpenAI Gym.☆12Updated 3 years ago
- Combining Evolutionary Algorithms and deep Reinforcement Learning☆18Updated 7 years ago
- Risk-Averse Distributional Reinforcement Learning: Code☆28Updated 7 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆50Updated 2 years ago
- Official implementation of "Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand☆81Updated 4 years ago
- This is the code repository for the paper "Zero-Sum Stochastic Stackelberg Games".☆16Updated 3 years ago
- Robust Multi-Agent Reinforcement Learning with State Uncertainty☆13Updated 2 years ago
- Code for paper publication: Deep reinforcement learning-based solution for a multi-objective online order batching problem☆15Updated 3 years ago
- Implementation of Mean Field Multi-Agent Reinforcement Learning in Pytorch☆19Updated last year
- Decision Transformer: A brand new Offline RL Pattern.☆37Updated 3 years ago
- Transformer-based Multi-Agent Actor-Critic Framework☆46Updated 3 years ago
- MIE424 Group Project: smart_predict_optimize☆15Updated 4 years ago
- Order Fulfillment by Multi-Agent Reinforcement Learning☆26Updated last year
- Solution to the Capacitated Vehicle Routing Problem using Gurobi's optimisation procedures.☆11Updated 5 years ago
- Paper list of multi-agent reinforcement learning (MARL)☆41Updated 4 years ago
- An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…☆13Updated 3 years ago
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆61Updated 5 years ago
- Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"☆14Updated 3 years ago