cyoon1729 / RLcycleLinks
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
☆300Updated last year
Alternatives and similar repositories for RLcycle
Users that are interested in RLcycle are comparing it to the libraries listed below
Sorting:
- Prioritized Experience Replay (PER) implementation in PyTorch☆355Updated 5 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆176Updated 2 years ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆551Updated last year
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆219Updated 2 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆516Updated 3 years ago
- Structural implementation of RL key algorithms☆516Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆331Updated 4 years ago
- ☆185Updated 3 years ago
- List of competitions related to Reinforcement Learning☆349Updated last year
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆206Updated 3 years ago
- Simple Cartpole example writed with pytorch.☆167Updated 6 years ago
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆420Updated 4 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆328Updated 2 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆504Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆311Updated last year
- 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
- Actor-critic trained w PPO on OpenAI's Procgen Benchmark (PyTorch). Built from scratch.☆101Updated 5 years ago
- A PyTorch library for building deep reinforcement learning agents.☆653Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆146Updated 6 years ago
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆305Updated 2 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆558Updated 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
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆266Updated 5 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆493Updated 4 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆764Updated last year
- PyTorch implementation of Trust Region Policy Optimization☆450Updated 7 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆229Updated 3 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆728Updated 2 years ago