Riashat

Active-Learning-Bayesian-Convolutional-Neural-Networks

Active Learning on Image Data using Bayesian ConvNets

Bayesian-Exploration-Deep-RL

Bayesian Uncertainty Exploration in Deep Reinforcement Learning

Deep-Bayesian-Active-Learning

Code for Deep Bayesian Active Learning (ICML 2017)

Dropout-Uncertainty-Exploration-DQN

Exploration Exploitation in DQNs using Dropout as Bayesian Approximation

meta-active-learning

Meta-Learning Bayesian Active Learning Algorithms

Model-Free-Control-Reinforcement-Learning

Multi-Step-Bootstrapping

Q(sigma), Expected SARSA and n-step Tree Backup Algorithms

Policy-Gradient-Reinforcement-Learning

Q-Learning-SARSA-Policy-and-Value-Iteration

Implementation of basic reinforcement learning algorithms (Q-learning, SARSA, Policy iteration and Value Iteration) on benchmark RL MDPs (GridWorld, SmallWorld and CliffWorld)

Temporal_Difference_Learning

Code for TD Learning algorithms in Reinforcement Learning

Riashat/Deep-Bayesian-Active-Learning

Code for Deep Bayesian Active Learning (ICML 2017)

Riashat/meta-active-learning

Meta-Learning Bayesian Active Learning Algorithms

Riashat/DeepRL-1

Modularized Implementation of Deep RL Algorithms in PyTorch

Riashat/Credit_Assignment_RL

Credit Assignment in Reinforcement Learning

Riashat/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

Riashat/generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Riashat/K-Means-Clustering

An implementation of K Means Clustering algorithm in Python and some applications

Riashat/Plotting_Scripts

Sample Plotting Script to use

Riashat/Soft_Trust_Region_A2C

Soft Trust Region Constraints on A2C

Riashat/Trust_DDPG

Trust Region constrained updates for DDPG

Riashat/Active_Imitation_Learning_RL

Imitation Learning in Deep RL

Riashat/BOPAH

The official implementation of "Batch Reinforcement Learning with Hyperparameter Gradients", ICML 2020

Riashat/drug_discovery

Riashat/europilot

A toolkit for controlling Euro Truck Simulator 2 with python to develop self-driving algorithms.

Riashat/gym-minigrid

Minimalistic gridworld environment for OpenAI Gym

Riashat/Imagination-Augmented-Agents

Building Agents with Imagination: pytorch step-by-step implementation

Riashat/OPE-tools

OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.

Riashat/Optimality-Guarantees-for-Policy-Gradient-Methods

Riashat/PARL

PARL PaddlePaddle Reinforcement Learning Framework

Riashat/PASF

PA-SkewFit for Goal-conditioned Block MDPs

Riashat/pytorch-a2c-ppo-acktr

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).

Riashat/pytorch-twin-sac

Riashat/Riashat.github.io

Personal Website

Riashat/RL-Adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

Riashat/simple_cnn_experiments

Kaggle Competition : Dogs vs Cats classification

Riashat/simple_rl

A simple framework for experimenting with Reinforcement Learning in Python.

Riashat/soft_td3

Soft Trust Region TD3

Riashat/TabulaRL

Riashat/TD3

PyTorch implementation of TD3 and DDPG for OpenAI gym tasks

Riashat/tensorboard-pytorch

tensorboard for pytorch