Synthetic environments

A synthetic environment is a computer simulation that represents activities at a high level of realism, from simulation of theaters of war to factories and manufacturing processes.

Below you will find extensive list of synthetic environments we implemented in our solutions.

2048-gym-ai-environment

by marek.k | May 2, 2025 | Synthetic | 0 Comments

Open AI gym environment for the game 2048 and agents to play it.. No. of environments: 1

2d_robot_arm_dqn

by marek.k | May 2, 2025 | Synthetic | 0 Comments

Deep Q Network Agent for Solving 2D Robot Arm Reacher. No. of environments: 1

484-curiosity

by marek.k | May 30, 2025 | Synthetic | 0 Comments

This is a collection of curiosity algorithms implemented in pytorch on top of the rlpyt deep rl codebase.. No. of environments: 135

7Wonder-RL-Lib

by marek.k | December 5, 2024 | Synthetic | 0 Comments

A customizable multi-agent environment based on the 7 Wonders board game, featuring interactive dynamics, stochastic elements, and AI personality support.. No. of environments: 1

against_env

by marek.k | May 2, 2025 | Synthetic | 0 Comments

A collection of environments for autonomous driving and tactical decision-making tasks. No. of environments: 1

ai_course_project

by marek.k | May 30, 2025 | Synthetic | 0 Comments

Artificial Intelligence Coursework. No. of environments: 134

ai_football

by marek.k | December 5, 2024 | Synthetic | 0 Comments

A custom OpenAI Gymnasium environment for training AI agents in a 3v3 Python football simulation.. No. of environments: 1

alpyperl

by marek.k | December 5, 2024 | Synthetic | 0 Comments

Connecting AnyLogic Simulations with Reinforcement Learning. No. of environments: 1

arcle

by marek.k | December 5, 2024 | Synthetic | 0 Comments

Expanding the Frontiers of Reinforcement Learning and Human-Like Reasoning. No. of environments: 4

artificial-intelligence-that-can-see

by marek.k | May 30, 2025 | Synthetic | 0 Comments

Solving intersection problem. No. of environments: 1