dalmia / David-Silver-Reinforcement-learning
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
☆813Updated 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
Sorting:
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,070Updated 3 years ago
- Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approxi…☆754Updated 6 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,175Updated 2 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,198Updated 4 years ago
- Assignments for CS294-112.☆1,596Updated 2 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,269Updated 5 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,302Updated last year
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆546Updated 6 months ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆679Updated 4 years ago
- Reinforcement Learning in PyTorch☆2,251Updated 4 years ago
- A toolkit for reproducible reinforcement learning research.☆1,974Updated 2 years ago
- For deep RL and the future of AI.☆1,459Updated last year
- PyTorch implementation of deep reinforcement learning algorithms☆495Updated 3 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,279Updated 3 months ago
- Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow☆850Updated 4 years ago
- Collection of reinforcement learning algorithms☆2,673Updated 10 months ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,237Updated 3 months ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆750Updated last year
- Simple A3C implementation with pytorch + multiprocessing☆639Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,226Updated 2 months ago
- This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch☆444Updated 5 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,754Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,295Updated last year
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆685Updated last year
- A collection of reference environments for offline reinforcement learning☆1,492Updated 5 months ago
- Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]☆107Updated 2 years ago
- Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind☆833Updated 5 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,109Updated 7 years ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆918Updated 3 weeks ago
- Implementations of selected inverse reinforcement learning algorithms.☆1,018Updated 2 years ago