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safe-reinforcement-learning

Here are 47 public repositories matching this topic...

CodeMaxx / Safe-RL-Pacman

Reinforcement Learning Course Project - IIT Bombay Fall 2018

Updated Nov 25, 2018
Python

ani8897 / Safe-RL-Pacman

Reinforcement Learning Course Project - IIT Bombay Fall 2018

reinforcement-learning ai pacman linear-temporal-logic shielding safe-reinforcement-learning

Updated Nov 27, 2018
Python

jvmncs / safe-grid-agents

Training (hopefully) safe agents in gridworlds

reinforcement-learning gym gridworld safe-reinforcement-learning safe-agents

Updated May 12, 2019
Python

IBM / vsrl-framework

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

nolanwagener / safe_rl

Implementations of SAILR, PDO, and CSC

safe-reinforcement-learning constrained-reinforcement-learning

Updated Sep 14, 2021
Python

akifumi-wachi-4 / spolf

Safe Policy Optimization with Local Features

reinforcement-learning safe-reinforcement-learning

Updated Mar 28, 2022
Python

sytelus / podworld

OpenAI Gym environment emphasizing Partially Observable Dynamic physics-based fast cross-platform 2D world

reinforcement-learning robotics openai-gym openai navigation-controller physics-simulation 2d-game openai-gym-environments curriculum-learning openai-gym-environment safe-reinforcement-learning

Updated Apr 16, 2022
Jupyter Notebook

shbz80 / Stablevic27

Code for the paper Stability-guaranteed reinforcement learning for contact-rich manipulation, IEEE RA-L, 2020.

robotics safe-reinforcement-learning stability-analysis contact-rich

Updated May 1, 2022
Python

shbz80 / energybased_stable_rl

Code for the paper Learning Deep Energy Shaping Policies for Stability-Guaranteed Manipulation, IEEE RA-L, 2021

robotics robotic-manipulation safe-reinforcement-learning stability-analysis

Updated May 1, 2022
Python

tayalmanan28 / Safe_Reinforcement_Learning

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

Safe-RL-Team / curriculum-learning-poster

Poster about Curriculum Induction for Safe Reinforcement Learning

reinforcement-learning curriculum-learning safe-reinforcement-learning safe-rl

Updated Jul 13, 2022
TeX

wanxinjin / Safe-PDP

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

shbz80 / normflow_policy

Code for the paper Learning Stable Normalizing-Flow Control for Robotic Manipulation, IEEE ICRA, 2021

robotics robot-manipulation safe-reinforcement-learning stability-analysis contact-rich

Updated Jul 28, 2022
Python

akjayant / PPO_Lagrangian_PyTorch

Implementation of PPO Lagrangian in PyTorch

reinforcement-learning lagrangian ppo safe-reinforcement-learning pytorch-implementation ppo-pytorch ppo-lagrangian

Updated Aug 29, 2022
Python

chauncygu / Safe-Multi-Agent-Robosuite

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

benchmark robotics multi-agent-reinforcement-learning safe-reinforcement-learning

Updated Oct 22, 2022
Python

translearn / safeMotions

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

python robotics humanoids safe-reinforcement-learning

Updated Nov 8, 2022
Python

yardenas / la-mbda

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

machine-learning reinforcement-learning deep-learning constrained-optimization ai-safety model-based-reinforcement-learning safe-reinforcement-learning

Updated Jan 16, 2023
Python

ZikangXiong / MFNLC

[IROS 22'] Model-free Neural Lyapunov Control

deep-reinforcement-learning motion-planning path-planning pytorch neural-control lyapunov-functions safe-reinforcement-learning stable-baselines3 neural-lyapunov-function goal-conditioned-rl safe-reinforcement-learning-environments machine-learning-for-control

Updated Mar 8, 2023
Python

chauncygu / Safe-Multi-Agent-Isaac-Gym

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

benchmark robotics multi-agent-reinforcement-learning safe-reinforcement-learning

Updated Mar 28, 2023
Python

yingchengyang / CPPO

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

reinforcement-learning safe-reinforcement-learning

Updated Apr 14, 2023
Python

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