🤖 Implementation and short explanation of basic RL algorithms, reproducing the simulations from Andrej Kaparthy's REINFORCEjs library.

Reinforcement Learning algorithms SARSA, Q-Learning, DQN, for Classical and MuJoCo Environments and testing them with OpenAI Gym.

Distributed Deep Reinforcement Learning Framework

Explore key RL algorithms with detailed explanations and fully commented Python code implementations

Code for my paper: "Theta sequences as eligibility traces: a biological solution to credit assignment"

Repository of Reinforcement Learning projects done during the course @sapienza

Reinforcement Learning tool to show how λ and learning rate affect Q(λ). Demonstrates this through teaching a bot to solve a maze.

Educational RL repo: DP, MC, SARSA, Q-learning from scratch using NumPy and GridWorld.

Tic-Tac-Toe agent trained by Deep Reinforcement Learning

Second homework for the Reinforcement Learning course

Replicates the Random Walk Experiments from Sutton's 1998 paper "Learning to predict by the methods of Temporal Differences"

Machine-learning application in path finding using the n-step TD(lambda) algorithm