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qfettes / DeepRL-Tutorials

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Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

reinforcement-learning gae deep-reinforcement-learning rainbow python3 pytorch deep-q-network actor-critic double-dqn quantile-regression dueling-dqn categorical-dqn ppo advantage-actor-critic a2c deep-recurrent-q-network prioritized-experience-replay multi-step-learning noisy-networks deeprl-tutorials
  • Updated May 19, 2021
  • Jupyter Notebook

Rahul-Choudhary-3614 / Deep-Reinforcement-Learning-Notebooks

Star 49

This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.

deep-reinforcement-learning rainbow doom dqn sarsa a3c ddqn ddpg-algorithm ppo a2c prioritized-experience-replay cartpole-v0 noisy-networks soft-actor-critic half-cheetah kungfumaster-v0 ant-v2 reinforce-algorithm
  • Updated Apr 24, 2021
  • Jupyter Notebook

tk-yasuno / markov-dqn-v09-quantile

Star 1

Quantile Regression DQN implementation for bridge fleet maintenance optimization using Markov Decision Process. Migrated from C51 distributional RL (v0.8) with 200 quantiles and Huber loss. Features: Dueling architecture, Noisy Networks, PER, N-step learning. All 6 maintenance actions show positive returns with 68-78% VaR improvement.

reinforcement-learning deep-q-learning dueling-dqn prioritized-experience-replay noisy-networks structural-health-monitoring qr-dqn markov-decision-process distributional-rl condition-based-maintenance bridge-maintenance disaster-resilience infrastructure-maintenance-management n-step-learning bridge-fleet
  • Updated Dec 12, 2025
  • Python

tk-yasuno / markov-dqn-v08-c51

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C51 Distributional DQN (v0.8) for bridge fleet maintenance optimization. Implements categorical return distributions (Bellemare et al., PMLR 2017) with 300x speedup via vectorized projection. Combines Noisy Networks, Dueling DQN, Double DQN, PER, and n-step learning. Validated on 200-bridge fleet: +3,173 reward in 83 min (25k episodes).

reinforcement-learning deep-q-learning double-dqn dueling-dqn predictive-maintenance cbm prioritized-experience-replay noisy-networks large-scale-optimization structural-health-monitoring markov-decision-process distributional-rl prognostics-health-management bridge-maintenance disaster-resilience infrastructure-maintenance-management vectorized-operations infrastructure-resilience n-step-learning bridge-fleet
  • Updated Dec 8, 2025
  • Python

salman-shah-ai / deep-reinforcement-learning-dqn-ddqn-dueldqn

Star 0

Deep Reinforcement Learning containing 1) DQN 2) Double DQN 3) Dueling DQN 4) Noisy Net (Noisy DQN) 5) DQN with Prioritized Experience Replay 6) Noisy Double DQN with Prioritized Experience Replay 7) Noisy Dueling Double DQN with Prioritized Experience Replay

deep-reinforcement-learning openai-gym dqn pong-python tensroflow double-dqn prioritized-experience-replay lunar-lander duel-dqn noisy-networks cartpole-environment
  • Updated Oct 13, 2025
  • Python

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