VXU1230 / Medium-Tutorials
☆46Updated 2 years ago
Alternatives and similar repositories for Medium-Tutorials:
Users that are interested in Medium-Tutorials are comparing it to the libraries listed below
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆98Updated 5 years ago
- My implementation of the Proximal Policy Optisation algorithm using Keras as a backend☆88Updated 5 years ago
- Industrial Benchmark☆127Updated last year
- Thompson Sampling Tutorial☆51Updated 6 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆45Updated 2 years ago
- Tabular Reinforcement Learning Algorithms with NumPy & Visualizations with Seaborn☆18Updated 6 years ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆216Updated 2 months ago
- PyTorch 1.x Reinforcement Learning Cookbook, published by Packt☆97Updated 2 years ago
- My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.☆38Updated 2 years ago
- A repository for code of reinforcement learning algorithms with PyTorch☆30Updated 3 years ago
- Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow☆102Updated 4 years ago
- Experiments with reinforcement learning and recurrent neural networks☆113Updated last year
- Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learning☆38Updated 2 years ago
- reinforcement learning with pytorch geometric library☆48Updated 3 years ago
- Evolving deep neural network agents using Genetic Algorithms☆67Updated 6 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆210Updated last year
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- Series of deep reinforcement learning algorithms 🤖☆29Updated 3 years ago
- Hands-on Deep Reinforcement Learning, published by Packt☆69Updated 2 years ago
- Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"☆207Updated 3 years ago
- Policy Gradient Actor-Critic PyTorch | Lunar Lander v2☆72Updated 5 years ago
- ☆73Updated 2 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆174Updated 2 years ago
- Proximal Policy Optimization with Tensorflow 2.0☆31Updated 5 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆102Updated 4 years ago
- An OpenAI Gym environment for Inventory Control problems☆55Updated 4 years ago
- A Minimal Deep Q-Network☆57Updated 8 months ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆300Updated last year
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- Minimalistic implementation of Vanilla Policy Gradient with PyTorch☆18Updated 5 years ago