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Melissa M's Projects

lsdr icon lsdr

Learning the Sweet-spot Distribution Range

mbpo icon mbpo

Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"

metaworld icon metaworld

An open source robotics benchmark for meta- and multi-task reinforcement learning

mobilerobotics icon mobilerobotics

Matlab and Robot code for ME 597: Autonomous Mobile Robotics at the University of Waterloo

mtrl icon mtrl

Multi Task RL Baselines

notes icon notes

Maths, paper and other learning notes

pytorch-a2c-ppo-acktr icon pytorch-a2c-ppo-acktr

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).

pytorch_sac_ae icon pytorch_sac_ae

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

rl-baselines-zoo icon rl-baselines-zoo

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

rllab icon rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

robosuite icon robosuite

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

stable-baselines3 icon stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

transformers icon transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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