lnpalmer / A2CLinks
PyTorch implementation of Advantage Actor-Critic (A2C)
☆46Updated 7 years ago
Alternatives and similar repositories for A2C
Users that are interested in A2C are comparing it to the libraries listed below
Sorting:
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 years ago
- Random Network Distillation(RND) algo in Pytorch☆50Updated 6 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆73Updated 8 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 5 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆97Updated 5 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆172Updated 4 years ago
- Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020☆54Updated 5 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆142Updated 2 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 7 months ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆138Updated last year
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- Deep Variational Reinforcement Learning☆137Updated 3 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 6 years ago
- Adaptive Attention Span for Reinforcement Learning☆135Updated 5 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated 2 years ago
- Random Network Distillation pytorch☆254Updated 6 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 6 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆62Updated 6 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- General implementation of Advantage Actor Critic using Pytorch☆28Updated 3 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆95Updated 4 months ago
- An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆131Updated 7 years ago
- PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning☆67Updated 5 years ago
- Keeping track of RL experiments☆163Updated 2 years ago
- PyTorch implementation of Proximal Policy Optimization☆53Updated 7 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆96Updated 7 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆206Updated 3 years ago
- ☆113Updated 5 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆219Updated 2 years ago