rohan-sawhney / multi-agent-rlLinks
☆77Updated 7 years ago
Alternatives and similar repositories for multi-agent-rl
Users that are interested in multi-agent-rl are comparing it to the libraries listed below
Sorting:
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆128Updated 2 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 8 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆95Updated 2 years ago
- Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)☆114Updated 2 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆209Updated 6 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆119Updated 7 months ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆105Updated 4 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆85Updated 6 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆86Updated 7 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆177Updated 7 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- ☆76Updated last year
- ☆83Updated 6 years ago
- ☆121Updated 2 years ago
- An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆132Updated 7 years ago
- Code for hierarchical imitation learning and reinforcement learning☆292Updated 7 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 5 years ago
- ☆52Updated 6 years ago
- Hierarchical Deep RL Network☆31Updated 8 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆183Updated 7 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆103Updated 3 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆218Updated last year
- research and implementations of Deep RL agents and their applications☆51Updated 3 weeks ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆317Updated 3 years ago
- There will be updates later☆85Updated 6 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆237Updated 2 years ago
- PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)☆55Updated 2 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆125Updated 5 years ago
- multi-agent reinforcement learning for competitive environments using pytorch☆13Updated 5 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆70Updated 8 years ago