gmargo11 / hDQN
Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)
☆34Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for hDQN
- Hierarchical-DQN in pytorch (not actively maintained)☆68Updated 7 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated last year
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆94Updated 2 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆36Updated 4 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆81Updated 6 years ago
- Deep Implicit Coordination Graphs☆41Updated 5 months ago
- The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆38Updated 2 years ago
- Official Repository for "Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing" (ICML2021)☆16Updated 3 years ago
- ☆24Updated 2 years ago
- Pytorch implementation of "Succinct and Robust Multi-Agent Communication With Temporal Message Control"☆26Updated 3 years ago
- Learning Individual Intrinsic Reward in MARL☆62Updated last year
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated last year
- Implementation code for GraphMIX: Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning☆30Updated 3 years ago
- ☆25Updated 6 years ago
- ☆37Updated 2 years ago
- pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"☆51Updated last year
- ☆41Updated 3 years ago
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆55Updated 4 years ago
- Code for "ALMA: Hierarchical Learning for Composite Multi-Agent Tasks" NeurIPS 2022☆24Updated 2 years ago
- ☆28Updated 3 years ago
- ☆45Updated 3 years ago
- ☆71Updated 5 months ago
- PyTorch Implementation of COPA for coordinating teams that can dynamically change.☆20Updated 2 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆61Updated 3 years ago
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆25Updated 11 months ago
- ☆43Updated last year
- This repository is an implementation of "MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer"…☆21Updated last year
- ☆88Updated 3 years ago
- Implementation for mSAC methods in PyTorch☆36Updated 3 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆60Updated 5 years ago