sisl / event-driven-rllabLinks
Extending rllab to event-driven multiagent environments
☆15Updated 7 years ago
Alternatives and similar repositories for event-driven-rllab
Users that are interested in event-driven-rllab are comparing it to the libraries listed below
Sorting:
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆106Updated 3 years ago
- ☆78Updated last year
- Pytorch implementation of "Succinct and Robust Multi-Agent Communication With Temporal Message Control"☆26Updated 4 years ago
- Official code of Nash-DQN for paper: Nash-DQN algorithm for two-player zero-sum Markov games, details see our paper: A Deep Reinforcement…☆20Updated 3 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆82Updated 2 years ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆48Updated last year
- Learning Individual Intrinsic Reward in MARL☆63Updated 2 years ago
- Deep Implicit Coordination Graphs☆43Updated last year
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆50Updated 2 years ago
- Solving POMDP using Recurrent networks☆91Updated 5 years ago
- Collection of OpenAI parametrized action-space environments.☆66Updated 7 months ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)☆46Updated 6 years ago
- FEN Code☆39Updated 5 years ago
- Multi Type Mean Field Reinforcement Learning☆31Updated 3 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
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- ☆49Updated 4 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆49Updated last year
- Soft Actor-Critic with advanced features☆51Updated last week
- Multi-Objective Deep Reinforcement Learning☆45Updated 8 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆88Updated 2 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆58Updated 3 years ago
- ☆20Updated 4 years ago
- Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)☆23Updated 3 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆34Updated 6 years ago
- Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)☆27Updated 3 years ago
- Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022☆62Updated 2 years ago
- MADDPG in Ray/RLlib☆54Updated 5 years ago