A Modern Probabilistic Model Checker
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Updated
May 24, 2024 - C++
A Modern Probabilistic Model Checker
Challenging Memory-based Deep Reinforcement Learning Agents
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
A Julia package for exponential family principal component analysis (E-PCA).
A framework to build and solve POMDP problems. Documentation: https://h2r.github.io/pomdp-py/
Partially Observable Process Gym
Partially Observable Monte Carlo Planning algorithm (POMCP)
This repo contains the work done on building the infrared component of our autonomous target detection framework named FALCO at the COHRINT LAB.
a Python package to simulate, solve and visualize the source-tracking POMDP
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.
When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
Sequential planner for large text based environments
[CoRL2023] Equivariant Reinforcement Learning under Partial Observability
train an RNN to estimate value in a POMDP using TD learning
Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
Baseline implementation of recurrent PPO using truncated BPTT
🌫️ Fog of war chess for ios ⚔️
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