Kinal Mehta (kinalmehta)

kinalmehta

Geek Repo

Company:Qualcomm

Location:India

Home Page:kinalmehta.github.io

Twitter:@kinal_mehta

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Kinal Mehta's repositories

marl-jax

JAX library for MARL research

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Reinforcement-Learning-Notebooks

Single notebook implementation of Deep RL algorithms

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Imitation-Learning-Pytorch

Imitation learning on MuJoCo Environments.

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epymarl_spectral

This is the official implementation of "Effects of Spectral Normalization in Multi-agent Reinforcement Learning" accepted at IJCNN-2023

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acme

Personal copy of deepmind's acme to keep all my projects in sync with

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cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

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Deep-Reinforcement-Learning

Deep RL algorithms implemented on Unity Environments. Part of DRLND

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deeplearning.ai-5-Course-Specialization

This repo consists of the work and assignments I worked on for the Deep Learning Specialization by Andrew Ng

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epymarl

An extension of the PyMARL codebase that includes additional algorithms and environment support

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kinalmehta

Github Home

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Gymnasium

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

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logseq-highlighters

More highlight colors in Logseq

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marl-lipo

Official codebase for Generating Diverse Cooperative Agents by Learning Incompatible Policies (notable-top-25% @ ICLR 2023)

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meltingpot

A suite of test scenarios for multi-agent reinforcement learning.

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Metaworld

Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

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Neural-Style-Transfer

Neural style transfer

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old-website

Personal Site

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sequential_social_dilemma_games

Repo for reproduction of sequential social dilemmas

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smac

SMAC: The StarCraft Multi-Agent Challenge

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Soft-Computing

Matlab codes of the first machine learning course I took at university.

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Udacity-DLND-workspace

It contains the assignments and project works I completed during the DLND course.

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