szrlee

muzero-cpp

A C++ pytorch implementation of MuZero

Distributed-Multi-Label-Continual-Learning

This is a distributed training framework for continual and incremental learning for multi-label multi-class image tasks

academic-kickstart

academic-website

bror

bsuite

bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

enn

Exploration-in-RL

graphbackup

Code release for Graph Backup: Data Efficient Backup Exploiting Markovian Transitions https://arxiv.org/abs/2205.15824

hustthesis

:notebook_with_decorative_cover: An Unofficial Thesis Template in LaTeX for Huazhong University of Science and Technology

HyperAgent

The official code repo for HyperAgent: A Simple, Scalable, Efficient and Provable Reinforcement Learning Framework for Complex Environments, ICML 2024.

HyperFQI

Information_Directed_Sampling

Implementation of Russo and Van Roy work on Information Directed Sampling (2017)

LangevinDQN

Code for the Langevin DQN agent

LMCTS

logistic_bandit

Logistic Bandit experiments. Official code for the paper "Jointly Efficient and Optimal Algorithms for Logistic Bandits".

model-based-muesli

muesli implementation based on muzero implementation from JimOhman (https://github.com/JimOhman/model-based-rl)

MuZero-Tensor-Batch-MCTS

An idea to implement MCTS by tensors. This implementation is able to process a batch of observations on GPU.

OB2I

Code for "Principled Exploration via Optimistic Bootstrapping and Backward Induction"

offline-rl-neurips.github.io

omega

A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environments.

optimistic-init

Accompanying code for "Optimistic Initialization for Exploration in Continuous Control"

rlberry

An easy-to-use reinforcement learning library for research and education.

rltf

Reinforcement Learning implementations and research prototyping in TensorFlow

sigmazero

Generalizing DeepMind's MuZero algorithm on stochastic environments

szrlee.github.io

TabulaRL

ts_tutorial

ucbmq_code

vae-anomaly-detector

Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.