Repository Index

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

• deep-reinforcement-learning
• pytorch
• reinforcement-learning
• machine-learning

Modularized Implementation of Deep RL Algorithms in PyTorch

• pytorch
• deep-reinforcement-learning
• dqn
• dueling-network-architecture

A collection of environments for autonomous driving and tactical decision-making tasks

• reinforcement-learning
• autonomous-driving
• gymnasium-environment

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

ProtoMotions is a GPU-accelerated simulation and learning framework for training physically simulated digital humans and humanoid robots.

• character-animation
• digital-human
• humanoid
• humanoid-robots

A replica of the AlphaZero methodology for deep reinforcement learning in Python

Scalable, event-driven, deep-learning-friendly backtesting library

• reinforcement-learning
• deep-reinforcement-learning
• gym-environment
• openai-gym

Reproducing the results of "Playing Atari with Deep Reinforcement Learning" by DeepMind

Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.

Communicating with godot engine through shared memory

Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019

Python application to setup and run streaming (contextual) bandit experiments.

• streaming
• bandit
• mab
• cmab

Workbench for practical machine learning in Ruby.

• machine-learning
• machine-learning-algorithms
• neural-network
• neural-networks