Shmuma / Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
☆67Updated last year
Related projects: ⓘ
- Coding Demos from the School of AI's Move37 Course☆184Updated 5 years ago
- Basic versions of agents from Spinning Up in Deep RL written in PyTorch☆197Updated 3 years ago
- ☆124Updated 6 years ago
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆76Updated 4 years ago
- Clone of OpenAI's Spinning Up in PyTorch☆146Updated 2 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆93Updated 4 years ago
- The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as …☆160Updated last year
- Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).☆87Updated 5 years ago
- Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow☆101Updated 4 years ago
- [Experimental] TensorFlow 2 version of stable-baselines, temporary repository☆44Updated 4 years ago
- Highly Modular and Scalable Reinforcement Learning☆113Updated 4 years ago
- ☆72Updated last year
- Bandits Environments for the OpenAI Gym☆88Updated 4 years ago
- PyTorch 1.x Reinforcement Learning Cookbook, published by Packt☆94Updated last year
- Building Agents with Imagination: pytorch step-by-step implementation☆205Updated 5 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆85Updated 5 years ago
- Real-World RL Benchmark Suite☆343Updated 4 years ago
- Pytorch starter code for UC Berkeley's cs285 assignments☆68Updated 2 years ago
- C51-DDQN in Keras☆125Updated 6 years ago
- Solutions to the Deep RL Bootcamp labs☆44Updated 6 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆195Updated 3 years ago
- An advanced course on reinforcement learning offered at Columbia University IEOR in Spring 2018☆62Updated 4 years ago
- Labs for understanding and coding Standard Reinforcement Learning concepts☆52Updated 5 years ago
- RL experiments☆69Updated last year
- Awesome RL: Papers, Books, Codes, Benchmarks☆114Updated 10 months ago
- This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.☆72Updated 3 years ago
- Code release for Learning with Opponent-Learning Awareness and variations.☆140Updated last year
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆299Updated 7 months ago
- TorchingUp provides minimal implementations of common Reinforcement Learning algorithms written in PyTorch. It is meant to complement Ope…☆42Updated last year
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 3 years ago