The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
Repository Index
47,133 repositories indexed
1–8 of 8 · Most stars
Infrastructure for continually self‑improving agents
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
- tensorflow
- ros
- deep-reinforcement-learning
- collision-avoidance
This trading-gym is the first trading for agent to train with episode of short term trading itself.
Trading environnement for RL agents, backtesting and training.
- trading
- backtesting
- reinforcement-learning-agent
- reinforcement-learning
Transformer-SRU LiDAR navigation for Unitree G1: Isaac Lab training, MuJoCo validation, and ROS 2 deployment.