simoninithomas / Deep_reinforcement_learning_CourseLinks
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
☆3,893Updated 2 years ago
Alternatives and similar repositories for Deep_reinforcement_learning_Course
Users that are interested in Deep_reinforcement_learning_Course are comparing it to the libraries listed below
Sorting:
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,387Updated last year
- Repo for the Deep Reinforcement Learning Nanodegree program☆5,129Updated 2 years ago
- Hands-on Deep Reinforcement Learning, published by Packt☆3,058Updated last week
- Minimal and Clean Reinforcement Learning Examples☆3,610Updated 2 years ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,904Updated last year
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,148Updated 4 years ago
- Python Implementation of Reinforcement Learning: An Introduction☆14,468Updated last year
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,080Updated 4 years ago
- For deep RL and the future of AI.☆1,498Updated last year
- Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.☆842Updated 3 years ago
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,512Updated last year
- Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow☆862Updated 5 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆2,002Updated 2 months ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,323Updated last week
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,267Updated 6 years ago
- Reinforcement Learning in PyTorch☆2,269Updated 4 years ago
- Hands-On Reinforcement Learning with Python, published by Packt☆833Updated 2 years ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,524Updated 2 years ago
- Assignments for CS294-112.☆1,639Updated 2 years ago
- Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind☆849Updated 6 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,315Updated 3 years ago
- Collection of reinforcement learning algorithms☆2,836Updated last year
- Minimal Deep Q Learning (DQN & DDQN) implementations in Keras☆1,312Updated 5 years ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,313Updated last year
- An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.☆1,199Updated 2 years ago
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,120Updated 2 years ago
- Solutions of Reinforcement Learning, An Introduction☆2,358Updated 5 months ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,867Updated 3 years ago
- Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approxi…☆778Updated 6 years ago
- Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning☆4,403Updated 5 years ago