simoninithomas / Deep_reinforcement_learning_CourseLinks
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
☆3,873Updated 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:
- Repo for the Deep Reinforcement Learning Nanodegree program☆5,088Updated last year
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,327Updated last year
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,119Updated 3 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,302Updated 2 years ago
- Minimal and Clean Reinforcement Learning Examples☆3,566Updated 2 years ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,870Updated last year
- Assignments for CS294-112.☆1,610Updated 2 years ago
- Hands-on Deep Reinforcement Learning, published by Packt☆3,011Updated 3 months ago
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,448Updated last year
- Reinforcement Learning in PyTorch☆2,268Updated 4 years ago
- Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind☆840Updated 6 years ago
- For deep RL and the future of AI.☆1,475Updated last year
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,078Updated 4 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,294Updated 5 months ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,977Updated 2 months ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,993Updated 2 years ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,313Updated last year
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,814Updated 3 years ago
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,256Updated 6 years ago
- Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.☆825Updated 3 years ago
- Collection of reinforcement learning algorithms☆2,740Updated last year
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,350Updated 2 years ago
- Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning☆4,354Updated 5 years ago
- Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow☆855Updated 4 years ago
- Paper list of multi-agent reinforcement learning (MARL)☆4,470Updated 2 months ago
- A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)☆3,654Updated last month
- TensorFlow Reinforcement Learning☆3,134Updated 2 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,640Updated 3 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,183Updated 2 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,748Updated 2 years ago