ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
- tensorflow
- ros
- deep-reinforcement-learning
- collision-avoidance
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ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
A curated list of Monte Carlo tree search papers with implementations.
Environment for reinforcement-learning algorithmic trading models
An OpenAI gym wrapper for CARLA simulator
Open, source-backed catalog of computer-use agents: reviewed papers, GUI models, datasets, benchmarks, tools, and reusable JSONL/SQLite data.
Translated🦆 Feetech HD1910 Microduck replica: one-legged balance, ready-to-use models, Chinese console, custom HAT/IMU & 3-step build guides. No training required.
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
Scikit-learn for Recursive Self-improvement (RSI). A modular framework for recursive harness evolution.
Deep Reinforcement Learning for de-novo Drug Design
Maze Applied Reinforcement Learning Framework
TavernGym and TavernBench: a faithful, full-content Hearthstone Battlegrounds simulator with an RL interface, and a 960-task decision benchmark. Code and data for "Build, Don't Play".
Free Course : Data, Machine Learning, Deep Learning and AI Engineering, the long way round: the math, the code, the systems and the security. 173 lessons, 166 runnable labs, no shortcuts. Free under CC BY-NC 4.0.
Trading environnement for RL agents, backtesting and training.
Building a population of models that trade crypto and mutate iteratively
Safe Bayesian Optimization
Official code for "Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models" (ICRA 2026): Flow Policy Optimization for pi0
Example of reinforcement learning using q-learning to teach an AI to play a game in Rub
Workbench for practical machine learning in Ruby.
Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).