gym-cryptotradingOpenAI Gym Environment API based Bitcoin trading environment
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Mutual labels: gym-environment
trading gyma unified environment for supervised learning and reinforcement learning in the context of quantitative trading
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Mutual labels: gym-environment
Space-Time-AStarA* Search Algorithm with an Additional Time Dimension to Deal with Dynamic Obstacles
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Mutual labels: obstacle-avoidance
pantherPerception-Aware Trajectory Planner in Dynamic Environments
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Mutual labels: obstacle-avoidance
gym-mtsimA general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)
Stars: ✭ 196 (+553.33%)
Mutual labels: gym-environment
dqn-obstacle-avoidanceDeep Reinforcement Learning for Fixed-Wing Flight Control with Deep Q-Network
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Mutual labels: obstacle-avoidance
gym exampleAn example implementation of an OpenAI Gym environment used for a Ray RLlib tutorial
Stars: ✭ 25 (-16.67%)
Mutual labels: gym-environment
Underwater-obstacle-avoidanceThe underwater robot obstacle avoidance project with the method of deep reinforcement learning
Stars: ✭ 23 (-23.33%)
Mutual labels: obstacle-avoidance
car-racingA toolkit for testing control and planning algorithm for car racing.
Stars: ✭ 30 (+0%)
Mutual labels: obstacle-avoidance
Quadcopter multi(Complete). An open-architecture multi-agent quadcopter simulator. We implement a few modern techniques for improving the performance of aerial vehicles, including reinforcement learning and shifting planar inequalities for obstacle avoidance.
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Mutual labels: obstacle-avoidance
maderTrajectory Planner in Multi-Agent and Dynamic Environments
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Mutual labels: obstacle-avoidance
Neural-Fictitous-Self-PlayScalable Implementation of Neural Fictitous Self-Play
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Mutual labels: gym-environment
2048-GymThis projects aims to use reinforcement learning algorithms to play the game 2048.
Stars: ✭ 68 (+126.67%)
Mutual labels: gym-environment
stadiumA graphical interface for reinforcement learning and gym-based environments. Integrates tensorboard and various configuration utilities for ease of usage.
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Mutual labels: gym-environment
MuJoCo RL UR5A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.
Stars: ✭ 108 (+260%)
Mutual labels: gym-environment
mgymA collection of multi-agent reinforcement learning OpenAI gym environments
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Mutual labels: gym-environment
gym-microrts-paper-sb3RL agent to play μRTS with Stable-Baselines3 and PyTorch
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Mutual labels: gym-environment
rocket-league-gymA Gym-like environment for Reinforcement Learning in Rocket League
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Mutual labels: gym-environment