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Adaptation of Monte Carlo and SARSA algorithms (Reinforcement Learning) for learning the policy of sellers/ buyers in stock market
Code base for actively eliciting expensive/ cumbersome features of the most informative data instance. (IJCAI 2018)
Multi class classification of cuisines from their important ingredients. (Kaggle)
PyTorch implementation of Deep Reinforcement Algorithm
This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
Author's PyTorch implementation of TD3 for OpenAI gym tasks
Repositories
18Adaptation of Monte Carlo and SARSA algorithms (Reinforcement Learning) for learning the policy of sellers/ buyers in stock market
PyTorch implementation of Deep Reinforcement Algorithm
This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
Author's PyTorch implementation of TD3 for OpenAI gym tasks
Code base for actively eliciting expensive/ cumbersome features of the most informative data instance. (IJCAI 2018)
No description provided.
Multi class classification of cuisines from their important ingredients. (Kaggle)
code for assignments of NLP
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
A toolkit for developing and comparing reinforcement learning algorithms.
A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning agents!
Comparison between Residual Networks and Gradient Boosting
Survey on (Deep) Reinforcement Learning papers and algorithms
No description provided.
Development repository for the STARLinG Lab's webpage. Built wtih Jekyll, jQuery, and the minimal-mistakes Jekyll theme.
Layer wise exploration of learning in deep Neural networks
Multi-class Malware Classification using source/assembly level code files
Development repository for BoostSRL.