Manan Tomar's repositories
Mirror-Descent-Policy-Optimization
Mirror Descent Policy Optimization
Reinforcement-Learning
Contains implementations of various deep RL algorithms and papers including action conditional video prediction | Python | Tensorflow | Open AI gym
Monocular_SLAM
Implementation of monocular SLAM using Bundle Adjustment and Key Frame Techniques
Multi-step-Greedy-Reinforcement-Learning-Algorithms
Multi-step Greedy Reinforcement Learning Algorithms
agent-centric-representations
Code for "Principled Offline RL in the Presence of Rich Exogenous Information" and "Ignorance is Bliss: Robust Control via Information Gating".
barlowtwins
PyTorch implementation of Barlow Twins.
code.fun.do-game
a game for code fun do finals
Policy-Gradients
Contains implementation of various policy gradient algorithms
CS231n
Implemented assignments for Stanford's deep learning course on Convolutional Neural Networks
dm_control
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
matter-js
a 2D rigid body physics engine for the web ▲● ■
NAF
Normalized Advantage Functions
Paper-Summaries
Contains notes / summaries of papers majorly in the field of deep reinforcement learning
RocAlphaGo
An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.
stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
trajectory-transformer
Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"
visionarch_2
a repo for virtual interaction in Gear VR
Visionarch_project_1
a repo for the first basic VR project