[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
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Dec 17, 2024
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policy-learning
Here are 14 public repositories matching this topic...
[CVPR 2024 Highlight] GenAD: Generalized Predictive Model for Autonomous Driving & Foundation Models in Autonomous System
autonomous-driving large-dataset general-artificial-intelligence video-generation world-models video-dataset embodied-ai policy-learning foundation-model
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Nov 9, 2024 - Python
A curated list of 3D Vision papers relating to Robotics domain in the era of large models i.e. LLMs/VLMs, inspired by awesome-computer-vision, including papers, codes, and related websites
computer-vision robotics navigation benchmarks simulations manipulation scene-graph grasping nerf 3d pointclouds vlm diffusion-models pretraining policy-learning foundation-models llm vision-language-model gaussian-splatting
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Nov 4, 2024
YLearn, a pun of "learn why", is a python package for causal inference
causality causality-analysis causal-inference causal-models uplift-modeling uplift causality-algorithms causal-discovery policy-learning
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Aug 23, 2024 - Python
[ICLR 2023] Pytorch implementation of PPGeo, a fully self-supervised driving policy pre-training framework to learn from unlabeled driving videos.
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Dec 6, 2023 - Python
[RSS 2024] Learning Manipulation by Predicting Interaction
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Aug 18, 2024 - Python
[ECCV 2022] Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining
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Feb 28, 2023 - Python
Policy learning via doubly robust empirical welfare maximization over trees
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Jun 14, 2024 - R
Stable dynamical system learning using Euclideanizing flows
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Nov 13, 2020 - Python
Off-Policy Evaluation and Learning that is both Doubly Robust and Distributionally Robust.
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Jul 14, 2022 - Jupyter Notebook
Experiment code for "Koopman Constrained Policy Optimization: a Koopman operator theoretic method for differentiable optimal control in robotics" as presented at ICML 2023
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Oct 4, 2023 - Jupyter Notebook
PyTorch code for TAPAS-GMM.
robotics pytorch artificial-intelligence imitation-learning learning-from-demonstration robotic-manipulation policy-learning
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Nov 21, 2024 - Jupyter Notebook
Black-box, gradient-free optimization of car-racing policies.
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Oct 5, 2020 - Python
This repository implements Q-Learning in Blackjack, comparing it with random action selection and basic strategies. Includes experiments with various strategies, rule variations, and deck numbers to evaluate performance.
machine-learning reinforcement-learning blackjack q-learning artificial-intelligence epsilon-greedy sarsa agent-based-modeling decision-making-under-uncertainty bellman-equation policy-learning reward-optimization
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Sep 4, 2024 - Jupyter Notebook
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