TianhongDai / distributed-ppoLinks
This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).
☆63Updated 7 years ago
Alternatives and similar repositories for distributed-ppo
Users that are interested in distributed-ppo are comparing it to the libraries listed below
Sorting:
- ☆122Updated 2 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆130Updated 2 years ago
- A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"☆130Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 6 years ago
- Unified Model-Free Hierarchical Reinforcement Learning Framework☆39Updated 6 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆42Updated 6 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆82Updated 2 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆212Updated 6 years ago
- PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)☆56Updated 2 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆88Updated 7 years ago
- Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)☆115Updated 2 years ago
- Learning Individual Intrinsic Reward in MARL☆63Updated 2 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆82Updated 7 years ago
- ☆54Updated 6 years ago
- Soft Actor-Critic with advanced features☆51Updated 2 weeks ago
- ☆84Updated 6 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆219Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆326Updated 3 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.☆89Updated 6 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆107Updated 4 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆142Updated 2 years ago
- MADDPG in Ray/RLlib☆54Updated 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 11 months ago
- Implement many Sparse Reward algorithms in Gym Fetch environment☆89Updated 5 years ago
- ReinforcementLearning Learn Play Atari Using DDPG and LSTM.☆20Updated 8 years 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 Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆292Updated 4 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆263Updated 5 years ago