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

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

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

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

Temporal difference learning for ultimate tic-tac-toe.

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

Monte Carlo and Temporal Difference implementation from Chapter 5 and Chapter 6 of Reinforcement Learning: An Introduction Book by Andrew Barto and Richard S. Sutton.

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

🎯 Reinforcement Learning portfolio · 5 envs · 20+ algorithms (DP, MC, TD, SARSA, Q-Learning, REINFORCE, MCTS) + Deep RL (DQN, AlphaZero) · 71 pytest tests

Implementation of td policy evaluation and q-learning on a grid world.