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

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

Reinforcement learning agents in Python (dynamic programming, temporal-difference, deep Q-learning, stochastic/deterministic policy gradients)

Multi-Armed Bandit Simulation, MDP GridWorld Example, Random Walk Problem by TD and MC

Temporal difference learning for ultimate tic-tac-toe.

My Implementation of the Accelerated Gradient Temporal Difference Learning algorithm in Python

Implementation of several algorithms in RL based on Prof. sutton's book

Make motion visible — highlight, silhouette, trace, or erase moving objects in any video. Pure ffmpeg + Bash, zero dependencies.