dsalgador / master-thesisLinks
Master's thesis about Reinforcement Learning (RL), Deep RL and Optimization for Product Delivery
☆18Updated 6 years ago
Alternatives and similar repositories for master-thesis
Users that are interested in master-thesis are comparing it to the libraries listed below
Sorting:
- Some notebooks☆64Updated 4 years ago
- Value iteration, policy iteration, and Q-Learning in a grid-world MDP.☆29Updated last year
- Code repository for my course on the fundamentals of reinforcement learning☆94Updated 6 years ago
- A multi-agent version of the Double DQN algorithm, with Foraging Task and Pursuit Game test scenarios☆12Updated 8 years ago
- Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, …☆37Updated 7 years ago
- A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment☆93Updated 6 years ago
- Hands-on Reinforcement Learning with PyTorch, published by [Packt]☆55Updated 4 years ago
- Reinforcement Learning approaches for learning communication in Multi Agent Systems.☆18Updated 6 years ago
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874☆47Updated 4 years ago
- Public Source Seeking Repository☆52Updated 5 years ago
- research and implementations of Deep RL agents and their applications☆54Updated 2 weeks ago
- Python Q learning implementations and application examples in wireless networks☆18Updated 8 years ago
- Reinforcement learning algorithms with Generalized Advantage Estimation☆21Updated 7 years ago
- A simple Gridworld environment for Open AI gym☆25Updated 7 years ago
- ☆23Updated 2 years ago
- This is the code for "Actor Critic Algorithms" by Siraj Raval on Youtube☆75Updated 7 years ago
- Implementation of value iteration algorithm for calculating an optimal MDP policy☆98Updated 7 years ago
- A Universal Deep Reinforcement Learning Framework☆70Updated 2 years ago
- Project for my graduate neural networks course - combining RL with VAEs☆23Updated 5 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆77Updated 4 years ago
- Keras implementation of DQN for the MsPacman-v0 OpenAI Gym environment.☆37Updated 2 years ago
- Coding Demos from the School of AI's Move37 Course☆184Updated 6 years ago
- Neural Network learns to land a rocket using Pytorch, Unity's MLAgents and PPO.☆35Updated 5 years ago
- Implementations of Coursera Reinforcement Learning Specialization☆45Updated 5 years ago
- Programming Assignments and Lectures for UC Berkeley's CS 294: Deep Reinforcement Learning☆56Updated 7 years ago
- PyTorch 1.x Reinforcement Learning Cookbook, published by Packt☆98Updated 2 years ago
- Deep-Q-Network reinforcement learning algorithm applied to a simple 2d-car-racing environment☆51Updated 8 years ago
- Reinforcement Learning with TensorFlow, published by Packt☆41Updated 2 years ago
- Tensorflow 2 Reinforcement Learning Cookbook, published by Packt☆195Updated 2 years ago
- Notes and comments about Deep Reinforcement Learning papers☆77Updated 7 years ago