A library of reinforcement learning components and agents
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Updated
Apr 7, 2023 - Python
A library of reinforcement learning components and agents
Collection of LLM resources that can be used to build products you can "own" or to perform reproducible research.
A complete framework for Godot to create beautiful and complex AI motion. Works both in 2D and in 3D.
Polyglot workflows without leaving the comfort of your technology stack.
Agent-based modeling framework in Julia
Implementations of Reinforcement Learning and Planning algorithms
Pandora FMS is a flexible and highly scalable monitoring system ready for big environments. It uses agents (Linux, Windows, AIX, HP-UX, Solaris and BSD systems) and can do both local and remote network monitoring (SNMP v3, TCP checks, WMI, etc).
An implementation of Actor, Publish-Subscribe, and CSP models in one rather small C++ framework. With performance, quality, and stability proved by years in the production.
Webconsole for OCS Inventory NG
DynamiteNSM is a free Network Security Monitor developed by Dynamite Analytics to enable network visibility and advanced cyber threat detection
A comprehensive autonomous decentralized systems framework for AI control architects.
SARL Agent-Oriented Programming Language http://www.sarl.io
krABMaga: A modern developing art for reliable and efficient Agent-based Model (ABM) simulation with the Rust language
Alternative to Unity's NavMesh system where the agents avoid each other.
RinSim is a logistics simulator written in Java. RinSim supports (de)centralized algorithms for dynamic pickup-and-delivery problems (PDP). The simulator is developed at the imec-DistriNet group at the dept. of Computer Science, KU Leuven, Belgium.
The official implementation for ICMI 2020 Best Paper Award "Gesticulator: A framework for semantically-aware speech-driven gesture generation"
(AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning
Gym environments and agents for autonomous driving.
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