jaromiru / sr-drl
Implementation of Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks
☆25Updated last year
Alternatives and similar repositories for sr-drl:
Users that are interested in sr-drl are comparing it to the libraries listed below
- Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)☆34Updated 5 years ago
- Implementation of Relational Deep Reinforcement Learning☆25Updated 4 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆32Updated 5 years ago
- reinforcement learning with pytorch geometric library☆48Updated 3 years ago
- Implementation code for GraphMIX: Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning☆29Updated 3 years ago
- Uber's Multi-Agent Routing Value Iteration Network☆61Updated 4 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆70Updated 7 years ago
- ☆20Updated 5 years ago
- Deep Implicit Coordination Graphs☆41Updated 7 months ago
- Decision Transformer: A brand new Offline RL Pattern.☆34Updated 2 years ago
- Official implementation of "Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand☆73Updated 3 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆44Updated last year
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆44Updated 3 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 4 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆83Updated 7 years ago
- Reward Propagation using Graph Convolutional Networks☆13Updated 3 years ago
- ☆26Updated 6 years ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆69Updated 5 years ago
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆26Updated last year
- ☆71Updated 7 months ago
- Planning using Reinforcement Learning☆8Updated 6 years ago
- The AI Arena: A framework for distributed multi-agent reinforcement learning☆14Updated 2 years ago
- ☆28Updated 3 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
- Pytorch implementation of Multi-Agent Generative Adversarial Imitation Learning☆38Updated 2 years ago
- Official code for "DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning" (NeurIPS 2022 Oral)☆24Updated last year
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆44Updated 10 months ago
- The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆39Updated 3 years ago