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Robin Ranjit Singh Chauhan's Projects

airflow icon airflow

AirFlow is a system to programmatically author, schedule and monitor data pipelines.

alpha-zero-general icon alpha-zero-general

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4

alphaxos icon alphaxos

Deep Reinforcement Learning with Self-Play

bayesrl icon bayesrl

A Python library for reinforcement learning using Bayesian approaches

bcq icon bcq

PyTorch implementation of BCQ for "Off-Policy Deep Reinforcement Learning without Exploration"

coach icon coach

Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

crosslang_embed icon crosslang_embed

Process multilingual phrases using embeddings. Combines translation, phrase embedding, embedding search, and embedding visualization.

dcapy icon dcapy

Decision curve analysis library for Python

deep-rl-tf2 icon deep-rl-tf2

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

deeprlintheworld icon deeprlintheworld

From search engines, to science, to robotics, this reposity is meant to showcase the use of reinforcement learning in the world..

dist-rl-tf2 icon dist-rl-tf2

🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2. [C51, QR-DQN, IQN]

dnd_battle_system icon dnd_battle_system

Simple text-only battle system for educational purposes, made at Roberts Creek Code Club

dopamine icon dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

feudal_networks icon feudal_networks

An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161

fqf-and-extensions icon fqf-and-extensions

PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF) and Extensions: N-step Bootstrapping, PER, Noisy Layer, Dueling Networks, and parallelization.

go-astar icon go-astar

Go implementation of the A* search algorithm

gpt-2 icon gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

gym-domain icon gym-domain

Reinforcement learning gyms for experimenting with domain generalization, domain adaptation, and robustness to domain shift

gym-stochastic icon gym-stochastic

Reinforcement learning gyms for experimenting with stochasticity

machina icon machina

Deep Reinforcement Learning framework

merlin icon merlin

(Personal experiment) Unsupervised Predictive Memory in a Goal-Directed Agent https://arxiv.org/abs/1803.10760

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