chagmgang / pytorch_ppo_rlLinks
Pytorch implementation of intrinsic curiosity module with proximal policy optimization
☆55Updated 6 years ago
Alternatives and similar repositories for pytorch_ppo_rl
Users that are interested in pytorch_ppo_rl are comparing it to the libraries listed below
Sorting:
- Curiosity-driven Exploration by Self-supervised Prediction☆142Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 6 years ago
- PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)☆154Updated 6 years ago
- PyTorch implementation of Never Give Up: Learning Directed Exploration Strategies☆58Updated 4 years ago
- Submission for MAVEN: Multi-Agent Variational Exploration☆58Updated 3 years ago
- ☆84Updated 6 years ago
- StarCraft II Multi Agent Challenge : QMIX, COMA, LIIR, QTRAN, Central V, ROMA, RODE, DOP, Graph MIX☆73Updated 4 years ago
- Soft Actor-Critic with advanced features☆51Updated last week
- Basic reinforcement learning implementation with tensorflow version 2.0☆52Updated 5 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆135Updated 2 months ago
- Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.☆89Updated 6 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆84Updated 4 years ago
- Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)☆41Updated 6 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- ppo-lstm-parallel☆47Updated 6 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago
- PyTorch IMPALA implementation☆27Updated 6 years ago
- ☆78Updated last year
- MAGNet: Multi-agents control using Graph Neural Networks☆132Updated 6 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆263Updated 5 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆82Updated 2 years ago
- Multi-Agent Determinantal Q-Learning☆44Updated 2 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆173Updated 11 months ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 7 months ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 5 months ago
- PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning☆67Updated 5 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆218Updated 2 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- Learning Individual Intrinsic Reward in MARL☆63Updated 2 years ago