koulanurag

conformal

Conformal prediction is a framework for providing accuracy guarantees on the predictions of a base predictor

dream-and-search

Code for "Dream and Search to Control: Latent Space Planning for Continuous Control"

gym-cartpole-continuous

CartPole env. with continuous action space

gym_x

Gym environments for capture properties of hidden states(hx) of recurrent networks.

ma-gym

A collection of multi agent environments based on OpenAI gym.

minimal-marl

Minimal implementation of multi-agent reinforcement learning algorithms

mmn

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

muzero-pytorch

Pytorch Implementation of MuZero

variable-td3

Learning n-step actions for control tasks

visTorch

Interacting with Latent Space of AutoEncoder

koulanurag/ma-gym

A collection of multi agent environments based on OpenAI gym.

koulanurag/muzero-pytorch

Pytorch Implementation of MuZero

koulanurag/minimal-marl

Minimal implementation of multi-agent reinforcement learning algorithms

koulanurag/mmn

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

koulanurag/visTorch

Interacting with Latent Space of AutoEncoder

koulanurag/dream-and-search

Code for "Dream and Search to Control: Latent Space Planning for Continuous Control"

koulanurag/conformal

Conformal prediction is a framework for providing accuracy guarantees on the predictions of a base predictor

koulanurag/gym-cartpole-continuous

CartPole env. with continuous action space

koulanurag/gym_x

Gym environments for capture properties of hidden states(hx) of recurrent networks.

koulanurag/marl-pytorch

Pytorch Implementations of Multi Agent Reinforcement Learning(marl) algorithms

koulanurag/deep-conformal

Applying Conformal Prediction over Deep Neural Nets

koulanurag/opcc

Benchmark for "Offline Policy Comparison with Confidence"

koulanurag/policybazaar

A collection of multi-quality policies for continuous control tasks.

koulanurag/variable-td3

Learning n-step actions for control tasks

koulanurag/maze-world

Random maze environments with different size and complexity for reinforcement learning research.

koulanurag/opcc-baselines

Baselines for "Offline Policy Comparison with Confidence"

koulanurag/pfa

Policy Fusion Architecture (PFA): We investigate policy gradient approaches for reward decomposition in reinforcement Learning

koulanurag/tensorboard2seaborn

Plot Tensorflow Summary Event in a Beautiful Way 🌈

koulanurag/vpn

PyTorch implementation of Value Prediction Network (VPN) :construction: :construction_worker:

koulanurag/pid-pendulum

PID controller for open-ai gym's Pendulum.

koulanurag/abp

A library to create adaptive programs (abp) via Reinforcement Learning

koulanurag/bmi

BMI Dashboard using NodeJs

koulanurag/card-arrangement-game

Card Arrangement Game to introduce statistical notions in fun way :game_die: :black_joker: :slot_machine:

koulanurag/chatter-nodejs

Trying to make a chat channel similar to IRC. (Inspired by usage of slack)

koulanurag/d4rl

A benchmark for offline reinforcement learning.

koulanurag/device-config-app

Primary purpose of app is to configure Echo Sounders.

koulanurag/gym-sokoban

Sokoban environment for OpenAI Gym

koulanurag/sokoban-bazaar

koulanurag/sweatram_mean

SweatRam's Dashboard using a Mean Stack

koulanurag/tweet-node

This project is to analyse real time tweets