Ankur-Deka
ML Robotics @ Tesla Optimus | AI Robotics Engineer @ Nimble Robotics | AI Research Engineer @ Intel Labs | MS in Robotics @ CMU RI | ECE & CS @ IIT Guwahati
Intel Labs
Pinned Repositories
A-Star
Simple Visual A-Star
ankur-deka.github.io
Website to describe my projects
Coding
Coding in CPP and Python
Emergent-Multiagent-Strategies
Emergence of complex strategies through multiagent competition
Hiding-Leader-Identity
IROS 2021 - Hiding Leader’s Identity in Leader-Follower Navigation through MARL
Human-Trajectory-Prediction
Predict future trajectory in crowd
Machine-Learning-Notebooks
Simple Experiments mainly on Machine Learning
PyTorch-with-ROS-Installation-Guide
Get Anaconda and ROS running together on Ubuntu 16.04
Stable-Baselines-Interface
Interface to run RL algorithms using Stable-Baselines3
0shot-object-insertion
Simulation and robot code for contact-rich household object insertion (ICRA 2023).
Ankur-Deka's Repositories
Ankur-Deka/Emergent-Multiagent-Strategies
Emergence of complex strategies through multiagent competition
Ankur-Deka/PyTorch-with-ROS-Installation-Guide
Get Anaconda and ROS running together on Ubuntu 16.04
Ankur-Deka/Hiding-Leader-Identity
IROS 2021 - Hiding Leader’s Identity in Leader-Follower Navigation through MARL
Ankur-Deka/Machine-Learning-Notebooks
Simple Experiments mainly on Machine Learning
Ankur-Deka/A-Star
Simple Visual A-Star
Ankur-Deka/ankur-deka.github.io
Website to describe my projects
Ankur-Deka/Coding
Coding in CPP and Python
Ankur-Deka/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
Ankur-Deka/Video-preview-tool
Preview multiple videos together
Ankur-Deka/Actor-Residual-Critic
ARC - Actor Residual Critic for Adversarial Imitation Learning
Ankur-Deka/agents
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
Ankur-Deka/CMU-RI-Presentation-Template
Unofficial PowerPoint presentation template for CMU Robotics Institute
Ankur-Deka/f-IRL
Inverse Reinforcement Learning via State Marginal Matching - CoRL 2020
Ankur-Deka/gym
A toolkit for developing and comparing reinforcement learning algorithms.
Ankur-Deka/gym-cooking
gym-cooking: Code for "Too many cooks: Bayesian inference for coordinating multi-agent collaboration", Winner of CogSci 2020 conference award in computational modelling.
Ankur-Deka/kinova-ros
ROS packages for Jaco2 and Mico robotic arms
Ankur-Deka/MAAC
Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019
Ankur-Deka/magenta
Magenta: Music and Art Generation with Machine Intelligence
Ankur-Deka/marl_transfer
Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)
Ankur-Deka/MLFlow-Tutorial
Minimal MLFlow example for tracking ML experiments
Ankur-Deka/moveit_tutorials
A sphinx-based centralized documentation repo for MoveIt
Ankur-Deka/music-generation
Ankur-Deka/overcoming-catastrophic
Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow
Ankur-Deka/private_flocking
Ankur-Deka/Procedural-painting
Procedural painting algorithms in Unity 3d with compute shaders based on genetic evolution algorithms
Ankur-Deka/rllab
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
Ankur-Deka/ROMA
Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)
Ankur-Deka/simExtROSInterface
Ankur-Deka/Simple-CUDA
Simple examples to get started with CUDA Programming
Ankur-Deka/visual-pushing-grasping
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.