Kale-ab Tessera (KaleabTessera)

KaleabTessera

Geek Repo

Company:University of Edinburgh

Location:Edinburgh, United Kingdom

Home Page:kaleabtessera.com

Twitter:@KaliTessera

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Kale-ab Tessera's repositories

DQN-Atari

Deep Q-Learning (DQN) implementation for Atari pong.

Research-Paper-Reading-Template

A markdown template for taking notes to summarize research papers.

PRM-Path-Planning

Implementation of Probabilistic Roadmap Path Planning Algorithm.

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Multi-Armed-Bandit

Implementation of greedy, E-greedy and Upper Confidence Bound (UCB) algorithm on the Multi-Armed-Bandit problem.

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Gridworld-Markov-Decision-Process

Implementing a gridworld from scratch and configuring it as a Markov decision process.

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Monte-Carlo-and-Temporal-Difference

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.

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personal-site-v2

My personal website.

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Policy-Gradient

Implementation of the following Policy Gradient Algorithms -Reinforce and Actor Critic.

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SARSA_Cliffwalking

Implementation of SARSA for cliffwalking environment.

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acme

A library of reinforcement learning components and agents

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awesome-marl

A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers

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BenchMARL

A collection of MARL benchmarks based on TorchRL

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boostnote-markdown-cheatsheet

📋 📘 The missing one page markdown feature cheat sheet for Boostnote

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botorch

Bayesian optimization in PyTorch

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cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

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d2l-en

Dive into Deep Learning: an interactive deep learning book with code, math, and discussions, based on the NumPy interface.

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loss-landscape

Code for visualizing the loss landscape of neural nets

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Mountain_Climbing_SARSA_Semi_Gradient

Implementation of SARSA Semi-Gradient Method on the Mountain Car Open AI Environment.

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off-policy

PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.

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on-policy

This is the official implementation of Multi-Agent PPO (MAPPO).

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openpilot

openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 100 supported car makes and models.

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rigl

End-to-end training of sparse deep neural networks with little-to-no performance loss.

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scipy

Scipy library main repository

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Shimmy

An API conversion tool for popular external reinforcement learning environments

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smac

SMAC: The StarCraft Multi-Agent Challenge

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SuperSuit

A collection of wrappers for Gymnasium and PettingZoo environments (being merged into gymnasium.wrappers and pettingzoo.wrappers

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