Riashat Islam

Active-Learning-Bayesian-Convolutional-Neural-Networks. Active Learning on Image Data using Bayesian ConvNets

Deep-Bayesian-Active-Learning. Code for Deep Bayesian Active Learning (ICML 2017)

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)

Policy-Gradient-Reinforcement-Learning. MATLAB

Bayesian-Exploration-Deep-RL. Bayesian Uncertainty Exploration in Deep Reinforcement Learning

Dropout-Uncertainty-Exploration-DQN. Exploration Exploitation in DQNs using Dropout as Bayesian Approximation

Temporal_Difference_Learning. Code for TD Learning algorithms in Reinforcement Learning

meta-active-learning. Meta-Learning Bayesian Active Learning Algorithms

Model-Free-Control-Reinforcement-Learning. MATLAB

Multi-Step-Bootstrapping. Q(sigma), Expected SARSA and n-step Tree Backup Algorithms

Q_Sigma_Tree_Backup_Eligibility_Traces. Python

Credit_Assignment_RL. Credit Assignment in Reinforcement Learning

Soft_Trust_Region_A2C. Soft Trust Region Constraints on A2C

Plotting_Scripts. Sample Plotting Script to use

Trust_DDPG. Trust Region constrained updates for DDPG