Pinned Repositories
Active-Feature-Elicitation
Code base for actively eliciting expensive/ cumbersome features of the most informative data instance. (IJCAI 2018)
adversarially-motivated-intrinsic-goals
This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
BoostSRL
Development repository for BoostSRL.
CS6320
code for assignments of NLP
Cuisine-Classification
Multi class classification of cuisines from their important ingredients. (Kaggle)
Decision-making-in-Finance
Adaptation of Monte Carlo and SARSA algorithms (Reinforcement Learning) for learning the policy of sellers/ buyers in stock market
Deep-Neural-networks
Layer wise exploration of learning in deep Neural networks
DRL-using-PyTorch
PyTorch implementation of Deep Reinforcement Algorithm
gym
A toolkit for developing and comparing reinforcement learning algorithms.
sridas123's Repositories
sridas123/Decision-making-in-Finance
Adaptation of Monte Carlo and SARSA algorithms (Reinforcement Learning) for learning the policy of sellers/ buyers in stock market
sridas123/Active-Feature-Elicitation
Code base for actively eliciting expensive/ cumbersome features of the most informative data instance. (IJCAI 2018)
sridas123/Cuisine-Classification
Multi class classification of cuisines from their important ingredients. (Kaggle)
sridas123/adversarially-motivated-intrinsic-goals
This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
sridas123/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
sridas123/BoostSRL
Development repository for BoostSRL.
sridas123/CS6320
code for assignments of NLP
sridas123/Deep-Neural-networks
Layer wise exploration of learning in deep Neural networks
sridas123/DRL-using-PyTorch
PyTorch implementation of Deep Reinforcement Algorithm
sridas123/gym
A toolkit for developing and comparing reinforcement learning algorithms.
sridas123/MalwareClassification
Multi-class Malware Classification using source/assembly level code files
sridas123/Multiple-Experts
sridas123/multiple_exp
sridas123/pycolab
A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning agents!
sridas123/reinforcement-learning-notes
Survey on (Deep) Reinforcement Learning papers and algorithms
sridas123/Residual-Networks-Vs-GB
Comparison between Residual Networks and Gradient Boosting
sridas123/starling.utdallas.edu
Development repository for the STARLinG Lab's webpage. Built wtih Jekyll, jQuery, and the minimal-mistakes Jekyll theme.
sridas123/TD3
Author's PyTorch implementation of TD3 for OpenAI gym tasks