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18 search results found

Safe Rlhf ⭐ 1,040

Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback

Omnisafe ⭐ 831

OmniSafe is an infrastructural framework for accelerating SafeRL research.

Safe Policy Optimization ⭐ 286

NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms

Safety Gymnasium ⭐ 258

NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark

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.

Multi Agent Constrained Policy Optimisation ⭐ 66

Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).

Cvpo Safe Rl ⭐ 42

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

Safe Grid Agents ⭐ 25

Training (hopefully) safe agents in gridworlds

Safe Multi Agent Isaac Gym ⭐ 22

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

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

Safe Pdp ⭐ 19

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.

LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization

Safemotions ⭐ 10

[Humanoids 2022] Learning Collision-free and Torque-limited Robot Trajectories based on Alternative Safe Behaviors

Towards Safe Reinforcement Learning via Constraining Conditional Value at Risk (IJCAI 2022)

Optimal Energy System Scheduling Combining Mixed Integer Programming And Deep Reinforcement Learning ⭐ 6

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

Safe Rl Pacman ⭐ 6

Reinforcement Learning Course Project - IIT Bombay Fall 2018

Safe Multi Agent Robosuite ⭐ 6

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

[IROS 22'] Model-free Neural Lyapunov Control

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