dalmia / David-Silver-Reinforcement-learning
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
☆809Updated 3 years ago
Alternatives and similar repositories for David-Silver-Reinforcement-learning:
Users that are interested in David-Silver-Reinforcement-learning are comparing it to the libraries listed below
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,067Updated 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
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆542Updated 5 months 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 Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,196Updated 4 years ago
- Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow☆850Updated 4 years ago
- Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approxi…☆753Updated 6 years ago
- Collection of reinforcement learning algorithms☆2,655Updated 10 months ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,294Updated last year
- Reinforcement Learning in PyTorch☆2,250Updated 4 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆678Updated 4 years ago
- For deep RL and the future of AI.☆1,457Updated last year
- A toolkit for reproducible reinforcement learning research.☆1,964Updated last year
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,290Updated last year
- Assignments for CS294-112.☆1,590Updated 2 years ago
- Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind☆832Updated 5 years ago
- Notes and exercise solutions for second edition of Sutton & Barto's book☆383Updated 2 years ago
- Deep reinforcement learning model implementation in Tensorflow + OpenAI gym☆292Updated 2 years ago
- 🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉☆305Updated 2 years ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆301Updated last year
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,110Updated 7 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,266Updated 5 years ago
- Python library for Reinforcement Learning.☆868Updated last week
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,217Updated last month
- Prioritized Experience Replay (PER) implementation in PyTorch☆333Updated 5 years ago
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)☆251Updated 3 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆496Updated 3 years ago
- This will contain my notes for research papers that I read.☆616Updated 5 years ago
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆662Updated last year
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆914Updated last week