jaromiru / sr-drlLinks
Implementation of Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks
☆28Updated 2 years ago
Alternatives and similar repositories for sr-drl
Users that are interested in sr-drl are comparing it to the libraries listed below
Sorting:
- reinforcement learning with pytorch geometric library☆51Updated 4 years ago
- Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)☆35Updated 6 years ago
- Implementation for mSAC methods in PyTorch☆41Updated 4 years ago
- Implementation code for GraphMIX: Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning☆36Updated 4 years ago
- ☆30Updated 4 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆34Updated 6 years ago
- Code for "Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning"☆36Updated 4 years ago
- Experimenting with meta-learning approaches to opponent modelling in MARL. Building upon previous public implementations of MADDPG and M3…☆14Updated 3 years ago
- Deep Implicit Coordination Graphs☆43Updated last year
- The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆44Updated 4 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆41Updated 3 years ago
- Official Repository for "Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing" (ICML2021)☆23Updated 4 years ago
- Code exploring the use of reward machines in the context of cooperative multi-agent reinforcement learning.☆14Updated 2 years ago
- ☆32Updated 4 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆88Updated 8 years ago
- Official implementation of "Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand☆82Updated 4 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆109Updated 3 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆86Updated 3 years ago
- Uber's Multi-Agent Routing Value Iteration Network☆66Updated 5 years ago
- Implementation of DyMA-CL, MARL algorithm☆28Updated 5 years ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆71Updated 6 years ago
- Codes for Paper "Delay-Aware Multi-Agent Reinforcement Learning".☆55Updated 5 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 3 years ago
- ☆20Updated 6 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆104Updated 2 years ago
- ☆78Updated last year
- This is the code for Q-value Path Decomposition for Deep Multiagent Reinforcement Learning (NeurIPS 2019).☆12Updated 6 years ago
- Implementation of Relational Deep Reinforcement Learning☆25Updated 5 years ago
- Code for NeurIPS paper "Self-Organized Group for Cooperative Multi-agentReinforcement Learning".☆21Updated 2 years ago