chagmgang / pytorch_ppo_rlLinks
Pytorch implementation of intrinsic curiosity module with proximal policy optimization
☆55Updated 7 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☆146Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 7 years ago
- ppo-lstm-parallel☆49Updated 6 years ago
- Basic reinforcement learning implementation with tensorflow version 2.0☆52Updated 5 years ago
- Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.☆89Updated 7 years ago
- ☆85Updated 7 years ago
- StarCraft II Multi Agent Challenge : QMIX, COMA, LIIR, QTRAN, Central V, ROMA, RODE, DOP, Graph MIX☆74Updated 4 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- PyTorch implementation of Never Give Up: Learning Directed Exploration Strategies☆58Updated 5 years ago
- Soft Actor-Critic with advanced features☆51Updated last month
- PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)☆155Updated 6 years ago
- Submission for MAVEN: Multi-Agent Variational Exploration☆59Updated 3 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆99Updated 5 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- Implementation of the Option-Critic Architecture☆40Updated 7 years ago
- PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning☆67Updated 6 years ago
- PyTorch IMPALA implementation☆27Updated 6 years ago
- ☆78Updated last year
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆62Updated 6 years ago
- Random Network Distillation pytorch☆260Updated 6 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆137Updated 5 months ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆269Updated 5 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆253Updated 5 years ago
- Adaptive Attention Span for Reinforcement Learning☆136Updated 5 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
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆87Updated 3 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆84Updated 4 years ago
- There will be updates later☆88Updated 6 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆111Updated 3 years ago
- ☆92Updated 5 years ago