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.

Step by Step Reinforcement Learning Tutorials.

NCTU(NYCU) Deep Learning and Practice Spring 2021

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

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.

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

Examples and tutorials that implement various algorithms in Deep Reinforcement Learning.

a collection of python notebooks using RL agents to play Atari games in OpenAI gym environments