medipixel / rl_algorithmsLinks
Structural implementation of RL key algorithms
☆516Updated 2 years ago
Alternatives and similar repositories for rl_algorithms
Users that are interested in rl_algorithms are comparing it to the libraries listed below
Sorting:
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆300Updated last year
- List of competitions related to Reinforcement Learning☆349Updated last year
- Prioritized Experience Replay (PER) implementation in PyTorch☆356Updated 5 years ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆702Updated last year
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆551Updated last year
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆371Updated 6 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆493Updated 4 years ago
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆578Updated 2 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆558Updated 2 years ago
- A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.☆374Updated 2 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆220Updated 2 years ago
- A PyTorch Platform for Distributed RL☆750Updated 4 years ago
- Random Network Distillation pytorch☆256Updated 6 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆687Updated 4 years ago
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆372Updated 4 years ago
- This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch☆453Updated 6 years ago
- A PyTorch library for building deep reinforcement learning agents.☆653Updated last year
- PyTorch implementation of Trust Region Policy Optimization☆450Updated 7 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆504Updated 3 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,190Updated 3 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆764Updated last year
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆176Updated 2 years ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆489Updated last year
- PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)☆155Updated 6 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆516Updated 3 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆266Updated 5 years ago
- 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2☆609Updated 3 years ago
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆420Updated 4 years ago
- TensorFlow2 Reinforcement Learning☆476Updated 3 years ago
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning☆594Updated 5 years ago