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Michael Lu's Projects

ciff icon ciff

Cornell Instruction Following Framework

cleanrl icon cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features

cogail icon cogail

Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration

cpo icon cpo

Constrained Policy Optimization

cpo-pytorch icon cpo-pytorch

An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch

jetracerrospkg icon jetracerrospkg

A ROS implementation of the jetRacer control platform running on an NVIDIA Jetson Nano

omnisafe icon omnisafe

OmniSafe is an infrastructural framework for accelerating SafeRL research.

proactive_interventions icon proactive_interventions

Codebase for NeurIPS 2022 paper, "When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning"

pytorch-rl icon pytorch-rl

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

recovery-rl icon recovery-rl

Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.

rl-baselines3-zoo icon rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

rl-starter-files icon rl-starter-files

RL starter files in order to immediatly train, visualize and evaluate an agent without writing any line of code

robopianist icon robopianist

🎹 🤖 A benchmark for high-dimensional robot control.

safe-control-gym icon safe-control-gym

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and reinforcement learning

safe-mbpo icon safe-mbpo

Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"

safety-gym icon safety-gym

Tools for accelerating safe exploration research.

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