robintyh1

onpolicybaselines

on-policy optimization baselines for deep reinforcement learning

icml2021-pengqlambda

Revisiting Peng's Q(lambda) for Modern Reinforcement Learning

neurips2021-meta-gradient-offpolicy-evaluation

Code for Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation @ NeurIPS 2021

nstep-sil

Code for NeurIPS 2020 paper 'Self-imitation Learning via Generalized Lower bound Q-learning'

Variational-DQN

Variational DQN encourages efficient exploration and allows for parameter update using black box variational inference

gym-mac

gym that works on new mac. full credit to https://github.com/lobachevzky/gym

learn2branch

Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)

mbbl

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

mlsh

open_spiel

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

PySCIPOpt

Python interface for the SCIP Optimization Suite

scip-dagger

A branch-and-bound ILP solver