rpatrik96 / pytorch-a2cLinks
A well-documented A2C written in PyTorch
☆52Updated 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:
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆146Updated 6 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆206Updated 3 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆145Updated 2 years ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆300Updated last year
- Random Network Distillation pytorch☆256Updated 6 years ago
- Adaptive Attention Span for Reinforcement Learning☆135Updated 5 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆331Updated 4 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆186Updated last year
- Simple Cartpole example writed with pytorch.☆167Updated 6 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆266Updated 5 years ago
- PyTorch implementation of Never Give Up: Learning Directed Exploration Strategies☆58Updated 4 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- Experiments with reinforcement learning and recurrent neural networks☆114Updated 2 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆230Updated 3 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆176Updated 3 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆328Updated 2 years ago
- Gridworld for MARL experiments☆143Updated 4 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆137Updated 3 months ago
- Lightweight multi-agent gridworld Gym environment☆211Updated 2 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆356Updated 5 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆214Updated 2 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 4 years ago
- PyTorch implementation of SAC-Discrete.☆312Updated last year
- Level-based Foraging (LBF): A multi-agent environment for RL☆198Updated last year
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆294Updated 4 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆183Updated 2 years ago
- ☆39Updated 3 months ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆220Updated 2 years ago