safe-reinforcement-learning

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
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EzgiKorkmaz / adversarial-reinforcement-learning

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

deep-reinforcement-learning ai-safety adversarial-machine-learning multiagent-reinforcement-learning robust-machine-learning ai-alignment safe-reinforcement-learning robust-reinforcement-learning responsible-ai adversarial-reinforcement-learning meta-reinforcement-learning explainable-machine-learning adversarial-policies safe-rlhf machine-learning-safety reinforcement-learning-safety artificial-intelligence-alignment reinforcement-learning-alignment robust-deep-reinforcement-learning

Updated Jun 18, 2024

ShengrenHou / Optimal-Energy-System-Scheduling-Combining-Mixed-Integer-Programming-and-Deep-Reinforcement-Learning

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The Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe reinforcement learning, energy management

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Updated Jun 8, 2023
Python

wanxinjin / Safe-PDP

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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

ZhengYinan-AIR / FISOR

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[ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"

reinforcement-learning imitation-learning jax safe-reinforcement-learning diffusion-models offline-reinforcement-learning hamilton-jacobi-reachability

Updated Sep 2, 2024
Python

liuzuxin / cvpo-safe-rl

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Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)

reinforcement-learning rl-algorithms safe-reinforcement-learning rl-safety

Updated May 21, 2023
Python

chauncygu / Safe-Multi-Agent-Isaac-Gym

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Safe Multi-Agent Isaac Gym benchmark for safe multi-agent reinforcement learning research.

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Updated Mar 28, 2023
Python

IBM / vsrl-framework

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The Verifiably Safe Reinforcement Learning Framework

reinforcement-learning pytorch reinforcement-learning-algorithms formal-methods formal-verification keymaerax safety-critical cyber-physical-systems differential-dynamic-logic keymaera safe-reinforcement-learning reinforcement-learning-environments safe-control

Updated Jul 22, 2021
Python

PKU-Alignment / SafeDreamer

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ICLR 2024: SafeDreamer: Safe Reinforcement Learning with World Models

reinforcement-learning constraint-satisfaction-problem safety-critical-systems safe-reinforcement-learning constraint-rl safe-policy-optimization

Updated Apr 8, 2024
Python

tayalmanan28 / Safe_Reinforcement_Learning

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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