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45 search results found

Pomdps.jl ⭐ 616

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

Ai Toolbox ⭐ 611

A C++ framework for MDPs and POMDPs with Python bindings

Reinforcement_learning_tutorial_with_demo ⭐ 357

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Pomdp Baselines ⭐ 224

Simple (but often Strong) Baselines for POMDPs in PyTorch (ICML 2022)

My_bibliography_for_research_on_autonomous_driving ⭐ 175

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

The DESPOT online POMDP solver

POMDPs in Python.

Pomdp Py ⭐ 149

A framework to build and solve POMDP problems. Documentation: https://h2r.github.io/pomdp-py/

Partially Observable Process Gym

A Modern Probabilistic Model Checker

Episodic Transformer Memory Ppo ⭐ 99

Clean baseline implementation of PPO using an episodic TransformerXL memory

Recurrent Ppo Truncated Bptt ⭐ 82

Baseline implementation of recurrent PPO using truncated BPTT

Deepqlearning.jl ⭐ 66

Implementation of the Deep Q-learning algorithm to solve MDPs

Endless Memory Gym ⭐ 65

Challenging Memory-based Deep Reinforcement Learning Agents

Agentmodels.org ⭐ 55

Modeling agents with probabilistic programs

Pomcpow.jl ⭐ 49

Online solver based on Monte Carlo tree search for POMDPs with continuous state, action, and observation spaces.

Pomdpgallery.jl ⭐ 43

A gallery of POMDPs.jl problems

Python implementation of POMDP framework and PBVI & POMCP algorithms.

Ss Replan ⭐ 37

Online Replanning in Belief Space for Partially Observable Task and Motion Problems

Gym_pomdp ⭐ 35

Gym-like extensions for POMDP

Basicpomcp.jl ⭐ 33

The PO-UCT algorithm (aka POMCP) implemented in Julia

Memory Rl ⭐ 30

When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)

Efficient Point-Based POMDP Planning by Approximating

Quickpomdps.jl ⭐ 28

Concise and friendly interfaces for defining MDP and POMDP models for use with POMDPs.jl solvers

Minecraft Reinforcement Learning ⭐ 27

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

Hierarchical Decision Making For Autonomous Driving ⭐ 25

Rich literature review and discussion on the implementation of "Hierarchical Decision-Making for Autonomous Driving"

Recurrent Deep Q Learning ⭐ 21

Solving POMDP using Recurrent networks

Implementing a RL algorithm based upon a partially observable Markov decision process.

Goal Oriented Dialog System

Quickpomdps ⭐ 12

Interface for defining discrete and continuous-space MDPs and POMDPs in python. Compatible with the POMDPs.jl ecosystem.

Pomdpstresstesting.jl ⭐ 11

Adaptive stress testing of black-box systems within POMDPs.jl

a Python package to simulate, solve and visualize the source-tracking POMDP

Non-linear policy graph improvement - planning for Dec-POMDPs

Task Models ⭐ 9

Task models for human robot collaboration

Factored Interactive POMDP solver based on symbolic Perseus.

Julia Implementation of the POMCP algorithm for solving POMDPs

Pomdp_pbvi_solver ⭐ 9

PBVI C++ Implementation for solving POMDPs

📦 A library for solving POMDPs

A project for the DRL framework. AINE means "Agent IN Environment".

Pathfinding Using Reinforcement Learning

Action_suggestions ⭐ 7

A method of collaborative decision making using action suggestions by using the agent's policy to estimate the distribution over suggestions and treating a suggested action as an observation of the environment to update the agent's belief.

Thompson Sampling ⭐ 6

Thompson Sampling based Monte Carlo Tree Search for MDPs and POMDPs

Pytorch A2clstm Drqn ⭐ 5

using recurrent networks(LSTM) to solve POMDPs

Particlefiltertrees.jl ⭐ 5

Sparse Particle Tree POMDP Solvers

Value Rnn Td ⭐ 5

train an RNN to estimate value in a POMDP using TD learning

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