ermongroup / MA-AIRLLinks
Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.
☆213Updated 6 years ago
Alternatives and similar repositories for MA-AIRL
Users that are interested in MA-AIRL are comparing it to the libraries listed below
Sorting:
- Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)☆115Updated 2 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆227Updated 4 years 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
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆264Updated 5 years ago
- ☆122Updated 2 years ago
- ☆273Updated 7 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 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 last year
- Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.☆88Updated 6 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆329Updated 3 years ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆95Updated 5 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆130Updated 2 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆162Updated 5 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆327Updated 2 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆291Updated 4 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆83Updated 2 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆139Updated last year
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆88Updated 7 years ago
- Distributional Soft Actor Critic☆59Updated 5 years ago
- PyTorch implementation of SAC-Discrete.☆310Updated last year
- There will be updates later☆86Updated 6 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆164Updated 2 years ago
- ☆48Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆146Updated 6 years ago
- ☆78Updated last year
- A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"☆130Updated 2 years ago
- Learning Individual Intrinsic Reward in MARL☆63Updated 2 years ago
- ☆76Updated 6 years ago