buomsoo-kim / Tabular-RL-with-PythonLinks
Tabular Reinforcement Learning Algorithms with NumPy & Visualizations with Seaborn
☆19Updated 7 years ago
Alternatives and similar repositories for Tabular-RL-with-Python
Users that are interested in Tabular-RL-with-Python are comparing it to the libraries listed below
Sorting:
- Hands-on Reinforcement Learning with PyTorch, published by [Packt]☆57Updated 5 years ago
- My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow☆53Updated 4 years ago
- Mastering Reinforcement Learning with Python, published by Packt☆177Updated last month
- Bayesian Inverse Reinforcement Learning with simple environments☆19Updated 3 years ago
- Link to paper: https://www.ssrn.com/abstract=3804655☆13Updated 4 years ago
- My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.☆37Updated 2 years ago
- This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.☆83Updated last year
- Learning to solve Minimum Vertex Cover using Graph Convolutional Networks and RL☆78Updated 6 years ago
- An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…☆13Updated 3 years ago
- Dynamic Pricing BwK Problem and Reinforcement Learning☆31Updated 7 years ago
- My Solution to the Programming Assignments for Practical Reinforcement Learning from Coursera☆67Updated 5 years ago
- An OpenAI Gym environment for Inventory Control problems☆57Updated 5 years ago
- Thompson Sampling Tutorial☆56Updated 7 years ago
- Reinforcement Learning (RL), allows you to develop smart, quick and self-learning systems in your business surroundings. It is an effecti…☆12Updated 6 years ago
- RLlib tutorials☆66Updated 4 years ago
- Appendix repository for Medium article "Routing Traveling Salesmen on Random Graphs using Reinforcement Learning, in PyTorch"☆58Updated 5 years ago
- PyTorch 1.x Reinforcement Learning Cookbook, published by Packt☆101Updated 3 years ago
- Implementations for solutions to programming exercises of Reinforcement Learning: An Introduction, Second Edition (Sutton & Barto)☆34Updated 3 years ago
- Feature selection for maximizing expected cumulative reward☆30Updated 8 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆79Updated 5 years ago
- Industrial Benchmark☆141Updated 2 years ago
- This repo is for a reinforcement learning project using citiBike data☆30Updated 6 years ago
- Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learning☆38Updated 3 months ago
- Ordered Preference Elicitation Strategies for Multi-Objective Decision Making using Gaussian Processes☆23Updated 7 years ago
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…☆143Updated 3 years ago
- Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.☆46Updated 4 years ago
- ☆71Updated 3 years ago
- Code to run the ASEBO algorithm from the paper: From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization... …☆16Updated 5 years ago
- ☆46Updated 3 years ago
- Hands-on Deep Reinforcement Learning, published by Packt☆75Updated 2 years ago