A Modern Probabilistic Model Checker
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Updated
Oct 2, 2024 - C++
A Modern Probabilistic Model Checker
Official Implementation for the paper "R-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models"
a Python package to simulate, solve and visualize the source-tracking POMDP
Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
This repo contains the work done on building the rgb component of our autonomous target detection framework named FALCO at the COHRINT LAB.
Official implementation of the Informed Dreamer algorithm, based on DreamerV3
A repository for everything olfactory navigation related.
In this repository, we explore the Point-Based Value Iteration algorithm and test it in the context of the problem of olfactory navigation.
Proposing better macro actions set using recurrent neural networks conditioned on encoded environmental contexts
Partially Observable Process Gym
This repo contains the work done on building the rgb component of our autonomous target detection framework named FALCO at the COHRINT LAB.
Clean baseline implementation of PPO using an episodic TransformerXL memory
Partially Observable Monte Carlo Planning algorithm (POMCP)
Challenging Memory-based Deep Reinforcement Learning Agents
A framework to build and solve POMDP problems. Documentation: https://h2r.github.io/pomdp-py/
Baseline implementation of recurrent PPO using truncated BPTT
This repo contains the work done on building the infrared component of our autonomous target detection framework named FALCO at the COHRINT LAB.
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.
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