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learn-to-race / l2r

Star 132

Open-source reinforcement learning environment for autonomous racing — featured as a conference paper at ICCV 2021 and as the official challenge tracks at both SL4AD@ICML2022 and AI4AD@IJCAI2022. These are the L2R core libraries.

machine-learning simulator research reinforcement-learning ai computer-vision deep-learning robotics deep-reinforcement-learning artificial-intelligence autonomous-driving l2r safe-reinforcement-learning autonomous-racing constrained-mdps arrival-simulator learn-to-race
  • Updated Dec 20, 2023
  • Python

EzgiKorkmaz / adversarial-reinforcement-learning

Star 76

Reading list for adversarial perspective and robustness in deep reinforcement learning.

deep-reinforcement-learning ai-safety adversarial-machine-learning multiagent-reinforcement-learning adversarial-attacks robust-machine-learning ai-alignment safe-reinforcement-learning robust-reinforcement-learning responsible-ai adversarial-reinforcement-learning meta-reinforcement-learning explainable-machine-learning explainable-rl adversarial-policies safe-rlhf machine-learning-safety reinforcement-learning-safety robust-adversarial-reinforcement-learning reinforcement-learning-generalization
  • Updated Sep 18, 2023

wanxinjin / Safe-PDP

Star 60

Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad class of safety-critical learning and control tasks.

optimization constraints constrained-optimization constraint-programming robotics-control constraint-based-modeling safety-critical safety-critical-systems differentiable-programming non-convex-optimization safe-reinforcement-learning constrained-learning safe-control constrained-reinforcement-learning safe-planning safety-critical-learning
  • Updated Jul 23, 2022
  • Python

tayalmanan28 / Safe_Reinforcement_Learning

Sponsor
Star 26

Repository containing the code for the paper "Safe Model-Based Reinforcement Learning using Robust Control Barrier Functions". Specifically, an implementation of SAC + Robust Control Barrier Functions (RCBFs) for safe reinforcement learning in two custom environments

machine-learning control reinforcement-learning deep-learning robotics pytorch safety-critical safe-reinforcement-learning iisc
  • Updated Jun 23, 2022
  • Python

EzgiKorkmaz / generalization-reinforcement-learning

Star 22

A Survey Analyzing Generalization in Deep Reinforcement Learning

deep-reinforcement-learning inverse-reinforcement-learning generalization safe-reinforcement-learning robust-reinforcement-learning domain-generalization adversarial-reinforcement-learning meta-reinforcement-learning safe-rl lifelong-reinforcement-learning explainable-reinforcement-learning reinforcement-learning-generalization machine-learning-generalization reinforcement-learning-survey rl-survey deep-rl-survey deep-reinforcement-learning-survey artificial-intelligence-generalization robust-reinforcement-learning-survey domain-generalization-survey
  • Updated Jan 6, 2024

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