cyoon1729 / RLcycle
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
☆302Updated last year
Alternatives and similar repositories for RLcycle:
Users that are interested in RLcycle are comparing it to the libraries listed below
- Prioritized Experience Replay (PER) implementation in PyTorch☆335Updated 5 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆489Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆314Updated 3 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆304Updated 2 years ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆543Updated 6 months ago
- ☆185Updated 3 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 4 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆487Updated 2 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆304Updated 9 months ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆220Updated 2 years ago
- Mean Field Multi-Agent Reinforcement Learning☆393Updated 5 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆211Updated 2 years ago
- List of competitions related to Reinforcement Learning☆351Updated last year
- PyTorch implementation of deep reinforcement learning algorithms☆495Updated 3 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆545Updated last year
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆287Updated 4 years ago
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆408Updated 3 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆693Updated 2 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆229Updated 4 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆98Updated 5 years ago
- A collection of multi agent environments based on OpenAI gym.☆597Updated 9 months ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆199Updated 2 years ago
- Structural implementation of RL key algorithms☆512Updated 2 years ago
- Soft Actor-Critic☆1,086Updated last year
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆105Updated 5 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆309Updated 4 years ago
- Proximal Policy Optimization implementation with TensorFlow☆107Updated 6 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆140Updated 6 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆748Updated last year