Software

To make it easier for others to build on our results, we strive to make our source code available under open access licenses. Below you can find the links to the released codebases.

Codebase for "Distributed Influence-Augmented Local Simulators":  https://github.com/INFLUENCEorg/DIALS

Codebase for "Influence-Augmented Local Simulators":  https://github.com/INFLUENCEorg/IALS

Codebase for "Online Planning in POMDPs with Self-Improving Simulators": https://github.com/INFLUENCEorg/POMCP-SIS (to release soon)

Codebase for "Influence-Augmented Online Planning for Complex Environments": https://github.com/INFLUENCEorg/IAOP . 

Codebase for "Decentralized MCTS via Learned Teammate Models": environment algorithm 

Codebase for "Influence-Aware Memory Architectures for Deep Reinforcement Learning in POMDPs": https://github.com/INFLUENCEorg/influence-aware-memory

Codebase for "Loss Bounds for Approximate Influence-Based Abstraction": https://github.com/INFLUENCEorg/Approx-IBA-Planning