Postdoc at Microsoft Research NYC. Previously a PhD student at the University of Alberta, UC Berkeley; working in Reinforcement Learning
Mirror-Descent-Policy-Optimization. Mirror Descent Policy Optimization
43DSR. Deep Successor Representation
18MPC. Contains simple MPC implementation with neural network learned dynamics.
16video-occupancy-models. Python
13agent-centric-representations. Code for "Principled Offline RL in the Presence of Rich Exogenous Information" and "Ignorance is Bliss: Robust Control via Information Gating".
9Reinforcement-Learning. Contains implementations of various deep RL algorithms and papers including action conditional video prediction | Python | Tensorflow | Open AI gym
7Multi-step-Greedy-Reinforcement-Learning-Algorithms. Multi-step Greedy Reinforcement Learning Algorithms
4Monocular_SLAM. Implementation of monocular SLAM using Bundle Adjustment and Key Frame Techniques
3test. C++
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