Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
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Updated
Dec 15, 2020
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
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/
Adaptive Attention Span for Reinforcement Learning
A Modern Probabilistic Model Checker
Efficient Point-Based POMDP Planning by Approximating
Python implementation of POMDP framework and PBVI & POMCP algorithms.
Baseline implementation of recurrent PPO using truncated BPTT
Modeling agents with probabilistic programs
Solving POMDP using Recurrent networks
Clean baseline implementation of PPO using an episodic TransformerXL memory
Rich literature review and discussion on the implementation of "Hierarchical Decision-Making for Autonomous Driving"
Online Replanning in Belief Space for Partially Observable Task and Motion Problems
Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft
Partially Observable Process Gym
Implementing a RL algorithm based upon a partially observable Markov decision process.
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