david-simoes-93 / Mixed-Policy-Asynchronous-Deep-Q-LearningLinks
Deep learning implementations (Asynchronous Deep Q-Learning) of multiple Game Theory algorithms for adversarial learning (WoLF-PHC, GIGA-WoLF, WPL, EMA-QL, PGA-APP)
☆15Updated 8 years ago
Alternatives and similar repositories for Mixed-Policy-Asynchronous-Deep-Q-Learning
Users that are interested in Mixed-Policy-Asynchronous-Deep-Q-Learning are comparing it to the libraries listed below
Sorting:
- A code reimplementation of DeepMind's "Multiagent Cooperation and Competition with Deep Reinforcement Learning" with Tensorflow☆15Updated 7 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆42Updated 3 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆35Updated 6 years ago
- ☆33Updated 3 years ago
- Multi-Objective Deep Reinforcement Learning☆45Updated 9 years ago
- ☆91Updated 4 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆88Updated 8 years ago
- Learning Individual Intrinsic Reward in MARL☆63Updated 3 years ago
- ☆42Updated 4 years ago
- Multi-Agent Determinantal Q-Learning☆44Updated 3 years ago
- There will be updates later☆88Updated 6 years ago
- pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"☆53Updated 3 years ago
- paper <<Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation>> python implementation☆10Updated 7 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆43Updated 7 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆104Updated 2 years ago
- ☆27Updated 5 years ago
- ☆76Updated 6 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆29Updated 6 years ago
- Code for "SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning" AAAI 2020☆26Updated 3 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- ☆12Updated 5 years ago
- ☆49Updated 4 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆111Updated 3 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆107Updated 5 years ago
- ☆47Updated 3 years ago
- ☆22Updated 4 years ago
- ☆30Updated 4 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
- Hierarchical-DQN in pytorch (not actively maintained)☆73Updated 8 years ago
- ☆54Updated 7 years ago