praveen-palanisamy / Ape-X-DQNLinks
PyTorch Implementation of Ape-X (Distributed prioritized experience replay) architecture with DQN learner
☆28Updated 5 years ago
Alternatives and similar repositories for Ape-X-DQN
Users that are interested in Ape-X-DQN are comparing it to the libraries listed below
Sorting:
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆137Updated 4 months ago
- Soft Actor-Critic with advanced features☆50Updated 2 weeks ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆149Updated 7 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆56Updated 10 months ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆99Updated 5 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆62Updated 6 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆107Updated 5 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆120Updated last year
- PyTorch IMPALA implementation☆27Updated 6 years ago
- A simple framework for distributed reinforcement learning in PyTorch.☆16Updated 5 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 5 years ago
- ☆78Updated last year
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- Multi-Agent Determinantal Q-Learning☆44Updated 3 years ago
- Learning Individual Intrinsic Reward in MARL☆63Updated 3 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆187Updated last year
- PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning☆67Updated 6 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago
- NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.☆24Updated last year
- Distributional Soft Actor Critic☆59Updated 5 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆132Updated 8 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆268Updated 5 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Updated 6 years ago
- ☆92Updated 5 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆130Updated 3 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆194Updated 3 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆334Updated 4 years ago