temporal-difference

Reinforcement-Learning-for-Decision-Making-in-self-driving-cars

TD-Regularized Actor-Critic Methods

The recommendation engine for Python software stacks and Dependency Monkey in project Thoth.

Implementation notebooks and scripts of Deep Reinforcement learning Algorithms in PyTorch and TensorFlow.

Implementation and Notes of different Reinforcement Learning Algorithms

Implementation of fundamental concepts and algorithms for reinforcement learning

🌿 [ICLR 2026] Official codebase for MINTO. 🌿 MINTO is a simple, yet effective target bootstrapping method for temporal-difference RL that enables faster, more stable learning and consistently improves performance across algorithms and benchmarks.

NCTU(NYCU) Deep Learning and Practice Spring 2021

Step by Step Reinforcement Learning Tutorials.

Autonomous Agent Tabular Q-Learning Temporal Difference Reinforcement Learning Engine with Epsilon-Greedy Exploration

Autonomous Agent Tabular Q-Learning Temporal Difference Reinforcement Learning Engine with Epsilon-Greedy Exploration

Implementation and Notes of different Reinforcement Learning Algorithms

Deep Q-Network experience replay buffer and Polyak target network averaging engine

Deep Q-Network experience replay buffer and Polyak target network averaging engine

Generalized Advantage Estimation (GAE-Lambda) exponentially weighted temporal difference calculator

Tabular Q-learning temporal difference agent with epsilon-greedy exploration and Bellman state-action updates.

Generalized Advantage Estimation (GAE) calculator computing temporal difference advantages and returns

Generalized Advantage Estimation (GAE-Lambda) exponentially weighted temporal difference calculator

Generalized Advantage Estimation (GAE) calculator computing temporal difference advantages and returns

Tabular Q-learning temporal difference agent with epsilon-greedy exploration and Bellman state-action updates.