archsyscall / DistRL-TensorFlow2
🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.
☆68Updated 4 years ago
Alternatives and similar repositories for DistRL-TensorFlow2:
Users that are interested in DistRL-TensorFlow2 are comparing it to the libraries listed below
- PyTorch implementation of FQF, IQN and QR-DQN.☆170Updated 7 months ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆137Updated 6 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆98Updated 5 years ago
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆29Updated 6 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated 7 months ago
- The implement of all kinds of dqn reinforcement learning with Pytorch☆93Updated 3 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆94Updated 4 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 5 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆45Updated 2 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆48Updated 4 years ago
- PyTorch implementation of Never Give Up: Learning Directed Exploration Strategies☆56Updated 4 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆96Updated 3 years ago
- Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)☆40Updated 6 years ago
- [ICML 2021] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning☆32Updated last year
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆132Updated 10 months ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆95Updated 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 …☆117Updated 4 months ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆54Updated 3 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- Distributional Soft Actor Critic☆51Updated 4 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆64Updated 5 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆258Updated 4 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆60Updated 5 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆155Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆163Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆304Updated 3 years ago
- Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some e…☆51Updated 4 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆122Updated 7 months ago