medipixel / rl_algorithmsLinks
Structural implementation of RL key algorithms
☆514Updated 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
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆370Updated 6 years ago
- List of competitions related to Reinforcement Learning☆349Updated last year
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆547Updated 10 months ago
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆575Updated 2 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆351Updated 5 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆217Updated 2 years ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆702Updated last year
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆764Updated last year
- PyTorch implementation of deep reinforcement learning algorithms☆496Updated 3 years ago
- Random Network Distillation pytorch☆252Updated 6 years ago
- PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)☆154Updated 6 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆682Updated 4 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 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.☆371Updated last year
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆501Updated 2 years ago
- Simple Cartpole example writed with pytorch.☆169Updated 5 years ago
- PyTorch implementation of Trust Region Policy Optimization☆446Updated 6 years ago
- A PyTorch library for building deep reinforcement learning agents.☆651Updated last year
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆554Updated 2 years ago
- A PyTorch Platform for Distributed RL☆750Updated 3 years ago
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆370Updated 3 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆261Updated 5 years ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆475Updated last year
- 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2☆608Updated 3 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆322Updated 3 years ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆960Updated 3 months ago
- Tools for accelerating safe exploration research.☆552Updated 2 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆508Updated 2 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago