Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
A framework to build and solve POMDP problems. Documentation: https://h2r.github.io/pomdp-py/
Partially Observable Process Gym
Clean baseline implementation of PPO using an episodic TransformerXL memory
Adaptive Attention Span for Reinforcement Learning
Python implementation of POMDP framework and PBVI & POMCP algorithms.
Challenging Memory-based Deep Reinforcement Learning Agents
Online Replanning in Belief Space for Partially Observable Task and Motion Problems
When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
Official Implementation for the paper "SR-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models"
This repository contains the code for RL for POMDPs through learning an Approximate Information State.
Solving pursuit-evasion problems on graphs using Reinfocement Learning and GNNs
A Python package to simulate, solve and visualize the source-tracking POMDP
POMDP wrappers for OpenAI Gym
[RAL 2023] transformer + reinforcement learning for navigation + POMPD
Goal Oriented Dialog System
Sequential planner for large text based environments
Pathfinding Using Reinforcement Learning
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