bhatiaabhinav

RL-v2

Version 3.0.0 Pytorch implementations of DQN, DDQN, DDPG, SAC, Discrete SAC. With more features :)

RL3

Source code for paper: RL^3: Boosting Meta Reinforcement Learning via RL inside RL^2.

WandbMacros.jl

Julia macros for logging to Weights & Biases (wandb.ai).

AnytimeWeightedAStar.jl

Julia Implementation of Anytime Weighted A* (AWA*) and Randomized Weighted A* (RWA*) algorithm

gym-ERSLE

Emergency Response System (ERS) (Ambualance allocation problem) simualtor gym environment.

RRTStar.jl

Julia implementation of RRT* motion planning algorithm.

Metareasoning.jl

Decision-theoretic metareasoning to control hyperparameter and stopping point of anytime algorithms using deep reinforcement learning.

ReinforcementLearning.jl

A reinforcement learning package for Julia

RL

This repo is not maintained anymore. Some algorithms for solving deep RL problems. Using TensorFlow.

RL.jl

A Reinforcement Learning Julia package that provides a framework and tools for developing new RL environments and RL algorithms.

AI-683

Bandits.jl

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bhatiaabhinav.github.io

Abhinav Bhatia's Personal Webpage

ClassicControl.jl

DQN.jl

GridWorlds.jl

Gym.jl

Julia.jl

Curated decibans of Julia programming language.

MDPs.jl

MDPVideoRecorder.jl

MetaMDPs.jl

model-free-metareasoning

A model-free metareasoning library for interrupting and adjusting the parameters of anytime algorithms.

PPO.jl

SAC.jl

SemiCircle.jl

TabularRL.jl

tictactoe

Transformers.jl

ValueIteration.jl