Deep Reinforcement Learning Nanodegree projects
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Updated
Jan 29, 2019 - Python
Deep Reinforcement Learning Nanodegree projects
Python3 port of the official PyTorch implementation of TD3 for OpenAI gym tasks
Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment
Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
Deep reinforcement learning project. We want to solve all the open AI gym problem.
Fun with Reinforcement Learning in my spare time
Training multiple agents to play tennis
reinforcement learning framework with pytorch
Training a car to move from one source point to destination point following the given proper road pathway covering the minimum distance in a map using Reinforcement Learning.
Minimal Implementation of Deep RL Algorithms in PyTorch
La combinación más inteligente de Deep Q-Learning, Políticas de Gradiente, Actor-Crítico y DDPG utilizando PyTorch
[Book] :- Andrea Lonza - Reinforcement Learning Algorithms with Python_ Learn, understand, and develop smart algorithms for addressing AI challenges-Packt Publishing (2019)
Deep Reinforcement Learning algorithms for Policy Value methods written from scratch.
Transfer learning in deep reinforcement learning for continuous control. Implemented DDPG and TD3 algorithms and evaluated ability to adapt to changes in environment dynamics and new environments
Udacity's Deep Reinforcement Learning course
Learning to paint using Model-based Deep Reinforcement Learning
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