rpatrik96 / pytorch-a2cLinks
A well-documented A2C written in PyTorch
☆51Updated 6 years ago
Alternatives and similar repositories for pytorch-a2c
Users that are interested in pytorch-a2c 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
- Simple Cartpole example writed with pytorch.☆169Updated 5 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆202Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆142Updated 6 years ago
- Adaptive Attention Span for Reinforcement Learning☆133Updated 5 years ago
- Random Network Distillation pytorch☆252Updated 6 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆138Updated 2 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆123Updated 4 years ago
- PyTorch implementation of Never Give Up: Learning Directed Exploration Strategies☆59Updated 4 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆96Updated 5 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆179Updated 11 months ago
- Experiments with reinforcement learning and recurrent neural networks☆114Updated last year
- Prioritized Experience Replay (PER) implementation in PyTorch☆346Updated 5 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆318Updated 3 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 years ago
- Gridworld for MARL experiments☆141Updated 4 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 5 years ago
- ☆132Updated 11 months ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆315Updated 2 years ago
- Lightweight multi-agent gridworld Gym environment☆208Updated last year
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆99Updated 5 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆218Updated 2 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆100Updated 3 years ago
- PyTorch implementation of SAC-Discrete.☆307Updated 11 months ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆224Updated 3 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆190Updated 2 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆213Updated 2 years ago
- Keeping track of RL experiments☆162Updated 2 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆234Updated 4 years ago