hnekoeiq

Lifelong-Hanabi

A Continual Multi-agent RL testbed based on Hanabi

LoCA

RLHive

academy

Ray tutorials from Anyscale

Artifical-Stock-Investment

atari-representation-learning

Code for "Unsupervised State Representation Learning in Atari"

autoregressive-tree

covid_p2p_simulation

Simulator for COVID-19 spread

ECE657A_Data-and-Knowledge-Modeling-and-Analysis-Assignments

Data and Knowledge Modeling and Analysis Assignments, Winter 2018

DEUP

Code for experiments to learn uncertainty

hnekoeiq/autoregressive-tree

hnekoeiq/covid_p2p_simulation

Simulator for COVID-19 spread

hnekoeiq/academy

Ray tutorials from Anyscale

hnekoeiq/Artifical-Stock-Investment

hnekoeiq/atari-representation-learning

Code for "Unsupervised State Representation Learning in Atari"

hnekoeiq/ECE657A_Data-and-Knowledge-Modeling-and-Analysis-Assignments

Data and Knowledge Modeling and Analysis Assignments, Winter 2018

hnekoeiq/botorch

Bayesian optimization in PyTorch

hnekoeiq/dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

hnekoeiq/dreamerv2

Mastering Atari with Discrete World Models

hnekoeiq/emdp

Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations

hnekoeiq/epymarl

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

hnekoeiq/Folder-Structure-Conventions

Folder / directory structure options and naming conventions for software projects

hnekoeiq/hanabi-learning-environment

hanabi_learning_environment is a research platform for Hanabi experiments.

hnekoeiq/hnekoeiq.github.io

hnekoeiq/maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

hnekoeiq/mctx

Monte Carlo tree search in JAX

hnekoeiq/muzero-pytorch

Pytorch Implementation of MuZero

hnekoeiq/PatchUp

hnekoeiq/plan2explore

Repository for the paper "Planning to Explore via Self-Supervised World Models"

hnekoeiq/Recurrent-Deep-Q-Learning

Solving POMDP using Recurrent networks

hnekoeiq/reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

hnekoeiq/RL-Adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

hnekoeiq/rlpyt

Reinforcement Learning in PyTorch

hnekoeiq/Transfer-Learning

hnekoeiq/wiseodd.github.io

wiseodd's blog