Topic: policy-learning Goto Github
Some thing interesting about policy-learning
Some thing interesting about policy-learning
policy-learning,Off-Policy Evaluation and Learning that is both Doubly Robust and Distributionally Robust.
Organization: causalml
policy-learning,YLearn, a pun of "learn why", is a python package for causal inference
Organization: datacanvasio
Home Page: https://ylearn.readthedocs.io
policy-learning,Policy learning via doubly robust empirical welfare maximization over trees
Organization: grf-labs
Home Page: https://grf-labs.github.io/policytree/
policy-learning,Black-box, gradient-free optimization of car-racing policies.
Organization: max-eth
policy-learning,[ECCV 2022] Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining
Organization: metadriverse
policy-learning,Experiment code for "Koopman Constrained Policy Optimization: a Koopman operator theoretic method for differentiable optimal control in robotics" as presented at ICML 2023
User: mhr
Home Page: https://kcpo-icml.surge.sh/
policy-learning,Stable dynamical system learning using Euclideanizing flows
User: mrana6
policy-learning,[Incl. GenAD, CVPR 2024 Highlight] Embracing Foundation Models into Autonomous Agent and System
Organization: opendrivelab
Home Page: https://arxiv.org/abs/2403.09630
policy-learning,All you need for End-to-end Autonomous Driving
Organization: opendrivelab
Home Page: https://arxiv.org/abs/2306.16927
policy-learning,[RSS 2024] Learning Manipulation by Predicting Interaction
Organization: opendrivelab
Home Page: https://opendrivelab.com/MPI/
policy-learning,[ICLR 2023] Pytorch implementation of PPGeo, a fully self-supervised driving policy pre-training framework to learn from unlabeled driving videos.
Organization: opendrivelab
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