pomdp
There are 88 repositories under pomdp topic.
chauvinSimon/My_Bibliography_for_Research_on_Autonomous_Driving
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
twni2016/pomdp-baselines
Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
AdaCompNUS/despot
The DESPOT online POMDP solver
h2r/pomdp-py
A framework to build and solve POMDP problems. Documentation: https://h2r.github.io/pomdp-py/
proroklab/popgym
Partially Observable Process Gym
MarcoMeter/episodic-transformer-memory-ppo
Clean baseline implementation of PPO using an episodic TransformerXL memory
moves-rwth/storm
A Modern Probabilistic Model Checker
jerrodparker20/adaptive-transformers-in-rl
Adaptive Attention Span for Reinforcement Learning
MarcoMeter/recurrent-ppo-truncated-bptt
Baseline implementation of recurrent PPO using truncated BPTT
namoshizun/PyPOMDP
Python implementation of POMDP framework and PBVI & POMCP algorithms.
MarcoMeter/endless-memory-gym
Challenging Memory-based Deep Reinforcement Learning Agents
AdaCompNUS/sarsop
Efficient Point-Based POMDP Planning by Approximating
mynkpl1998/Recurrent-Deep-Q-Learning
Solving POMDP using Recurrent networks
agentmodels/agentmodels.org
Modeling agents with probabilistic programs
caelan/SS-Replan
Online Replanning in Belief Space for Partially Observable Task and Motion Problems
twni2016/Memory-RL
When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
chauvinSimon/Hierarchical-Decision-Making-for-Autonomous-Driving
Rich literature review and discussion on the implementation of "Hierarchical Decision-Making for Autonomous Driving"
d3sm0/gym_pomdp
Gym-like extensions for POMDP
catohaste/POMDP
Implementing a RL algorithm based upon a partially observable Markov decision process.
vincentberaud/Minecraft-Reinforcement-Learning
Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft
NACLab/robust-active-inference
Official Implementation for the paper "R-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models"
HaiyinPiao/pytorch-a2clstm-DRQN
using recurrent networks(LSTM) to solve POMDPs
yangyou95/POMDP_PBVI_solver
PBVI C++ Implementation for solving POMDPs
info-structures/ais
This repository contains the code for RL for POMDPs through learning an Approximate Information State.
laurimi/npgi
Non-linear policy graph improvement - planning for Dec-POMDPs
rvdweerd/simmodel
Solving pursuit-evasion problems on graphs using Reinfocement Learning and GNNs
stweigand/gym-pomdp-wrappers
POMDP wrappers for OpenAI Gym
ppartha03/MACA
Goal Oriented Dialog System
C0PEP0D/otto
a Python package to simulate, solve and visualize the source-tracking POMDP
ollema/purl
Pathfinding Using Reinforcement Learning
rmoehn/piglet_pbvi
Implementation of point-based value iteration (for POMDPs)
ScazLab/task-models
Task models for human robot collaboration
swarna-kpaul/neoplanner
Sequential planner for large text based environments
aijunbai/hplanning
Markovian State and Action Abstractions for MDPs via Hierarchical MCTS within a POMDP Formulation
laurimi/multiagent-prediction-reward
Multi-agent active perception with prediction rewards
sisl/action_suggestions
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.