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Top 20 reinforcement-learning-environments open source projects

sharpe
sharpe is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinforcement learning) in the context of quantitative trading
AI4U
AI4U is a multi-engine plugin (Unity and Godot) that allows you to specify agents with reinforcement learning visually. Non-Player Characters (NPCs) of games can be designed using ready-made components. In addition, AI4U has a low-level API that allows you to connect the agent to any algorithm made available in Python by the reinforcement learni…
simple-playgrounds
Simulator for Reinforcement Learning and AI. 2D environments with physics and interactive entities. Agents with rich sensors and actuators.
realant
RealAnt robot platform for low-cost, real-world reinforcement learning
multi car racing
An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.
1-20 of 20 reinforcement-learning-environments projects