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awesome-rl

Reinforcement learning resources curated

bayesopt-bandits-notes

Notes for ORIE 6750, Optimal Learning, at Cornell on Bayesian Optimization, Multi-armed Bandits, Active Learning, and Sequential Bayesian Experimental Design

bcq

PyTorch implementation of BCQ for "Off-Policy Deep Reinforcement Learning without Exploration"

bear

Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction

copier

Co-training for Policy Learning

dopamine

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

dynamicdecisions.github.io

Website for Workshop on Consequential Decisions in Dynamic Environments

graphite_instructions

Instructions for using the graphite cluster

homework_fall2020

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)

jaxcql

Conservative Q learning in Jax

loss-landscape

Code for visualizing the loss landscape of neural nets

mltr

ope-tools

OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.

prml

PRML algorithms implemented in Python

prmlt

Matlab code for machine learning algorithms in book PRML

reagent

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

rlkit

Collection of reinforcement learning algorithms

softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

spibb-dqn

Code for SPIBB-DQN and Soft-SPIBB-DQN

tensorboard

TensorFlow's Visualization Toolkit

yisu0005.github.io

A minimal Jekyll Theme to host your resume (CV)