Openai Gym
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A reliable PyTorch implementation of reinforcement learning algorithms for research and industry.
An open course on reinforcement learning with a practical focus, featuring hands-on labs and comprehensive materials for both online and on-campus students.
An open course on reinforcement learning with a practical focus, featuring hands-on labs and comprehensive materials for both online and on-campus students.
An open-source Python framework for building, training, and evaluating reinforcement learning agents for algorithmic trading.
A Python library implementing state-of-the-art deep reinforcement learning algorithms with seamless Keras integration.
TensorFlow implementation of Deep Q-Networks (DQN) for human-level control in reinforcement learning environments.
Open-source robot simulation software integrated with OpenAI Gym for reinforcement learning research.
An experimentation platform for training and researching automated agents in abstract simulated enterprise network environments using reinforcement learning.
OpenAI Gym environments and tools for training a 3D-printed quadruped robot (SpotMicro) using reinforcement learning.
A scalable, event-driven backtesting library for reinforcement learning in algorithmic trading, built on Backtrader with OpenAI Gym API.
An OpenAI Gym extension for robotics simulation using ROS and Gazebo to benchmark and develop robot behaviors.
A diverse suite of scalable reinforcement learning environments written in JAX for hardware-accelerated research.
An OpenAI Gym environment for stock market trading simulation with Deep Q-learning and Policy Gradient implementations.
A reinforcement learning environment for training AI agents to manipulate malware samples and evade static machine learning detection.
An OpenAI Gym environment wrapper for the CARLA autonomous driving simulator, enabling reinforcement learning research.
A reinforcement learning environment for training trading agents using real Korean equities orderbook and execution data.
Turn Godot projects into OpenAI Gym environments for training reinforcement learning models with PyTorch via shared memory.
Deep reinforcement learning framework for financial trading using price trailing, implemented with Keras-RL for Forex markets.
An API conversion tool providing Gymnasium and PettingZoo bindings for popular external reinforcement learning environments.
A collection of neuroevolution experiments for reinforcement learning control problems using unsupervised learning feature extractors.
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