An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
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Updated
May 29, 2024 - Python
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
⛰ Reinforcement learning model trying to make car reach to top of mountain
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Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
AI-FitnessTrainer using YOLOv8-pose
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
Simple Gridworld Gymnasium Environment
A Rust version of RLGym for RocketSim.
A collection of RL gym environments built with PyBullet. In these environments, the agent needs to learn to grasp deformable object such as shoe insoles or pillows.
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[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios
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