sudharsan13296 / Hands-On-Reinforcement-Learning-With-Python
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
☆850Updated 4 years ago
Alternatives and similar repositories for Hands-On-Reinforcement-Learning-With-Python:
Users that are interested in Hands-On-Reinforcement-Learning-With-Python are comparing it to the libraries listed below
- Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math☆412Updated 4 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,067Updated 3 years ago
- Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.☆809Updated 3 years ago
- Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approxi…☆753Updated 6 years ago
- Hands-On Reinforcement Learning with Python, published by Packt☆808Updated 2 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆678Updated 4 years ago
- An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.☆1,145Updated last year
- Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)☆541Updated 4 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,291Updated last year
- Hands-on Deep Reinforcement Learning, published by Packt☆2,944Updated 2 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,189Updated 4 years ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆542Updated 5 months ago
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,251Updated 6 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆496Updated 3 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,278Updated 2 months ago
- Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind☆832Updated 5 years ago
- Minimal Deep Q Learning (DQN & DDQN) implementations in Keras☆1,299Updated 4 years ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,088Updated 3 years ago
- For deep RL and the future of AI.☆1,457Updated last year
- ☆395Updated last year
- Collection of reinforcement learning algorithms☆2,655Updated 10 months ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,108Updated 7 years ago
- Assignments for CS294-112.☆1,590Updated 2 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,169Updated 2 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,266Updated 5 years ago
- Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog☆617Updated last year
- TensorFlow2 Reinforcement Learning☆475Updated 3 years ago
- Minimal and Clean Reinforcement Learning Examples☆3,505Updated 2 years ago
- Code from the Deep Reinforcement Learning in Action book from Manning, Inc☆786Updated last year
- Repository for codes of 'Deep Reinforcement Learning'☆216Updated 5 years ago