fiezt / ICML-2020-Implicit-Stackelberg-LearningLinks
☆12Updated 4 years ago
Alternatives and similar repositories for ICML-2020-Implicit-Stackelberg-Learning
Users that are interested in ICML-2020-Implicit-Stackelberg-Learning are comparing it to the libraries listed below
Sorting:
- ☆44Updated 4 years ago
- Pytorch implementation of "Succinct and Robust Multi-Agent Communication With Temporal Message Control"☆26Updated 4 years ago
- Multi-Agent Determinantal Q-Learning☆43Updated 2 years ago
- pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"☆53Updated 2 years ago
- ☆76Updated last year
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆33Updated 6 years ago
- Code for "Convergence of Learning Dynamics in Stackelberg Games"☆13Updated 5 years ago
- ☆44Updated 3 years ago
- Code for "SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning" AAAI 2020☆26Updated 2 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆103Updated 3 years ago
- ☆46Updated 2 years ago
- An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch☆25Updated 5 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- ☆49Updated 3 years ago
- Paper list for constrained policy optimization in reinforcement learning.☆72Updated last year
- Learning Individual Intrinsic Reward in MARL☆62Updated 2 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆47Updated last year
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆59Updated 5 years ago
- Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework☆66Updated 4 years ago
- Multi-Objective Deep Reinforcement Learning☆45Updated 8 years ago
- Submission for MAVEN: Multi-Agent Variational Exploration☆58Updated 3 years ago
- ☆12Updated 4 years ago
- Deep Implicit Coordination Graphs☆41Updated last year
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆56Updated 3 years ago
- Implementation of Deepmind's LaserTag-v0 game in A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning(2017)☆19Updated 6 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆59Updated 4 years ago
- PyTorch implementation of Constrained Policy Optimization☆54Updated 3 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago