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Rodrigo de Lazcano's Projects

babyai icon babyai

BabyAI platform. A testbed for training agents to understand and execute language commands.

citylearn icon citylearn

Official reinforcement learning environment for demand response and load shaping

colabgymrender icon colabgymrender

A wrapper for rendering OpenAI Gym environments in Google Colab

corl icon corl

High-quality single-file implementations of SOTA Offline RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC

crowdplay icon crowdplay

CrowdPlay is a platform for crowdsourcing human demonstration trajectories in RL environments.

d4rl icon d4rl

A collection of reference environments for offline reinforcement learning

environment icon environment

Neural MMO - A Massively Multiagent Environment for Artificial Intelligence Research

envpool icon envpool

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

farama-notices icon farama-notices

Allows for providing notifications on import to all Farama Packages

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym-miniworld icon gym-miniworld

MiniWorld: Minimalistic 3D Environment for RL & Robotics Research

gymnasium icon gymnasium

A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)

hindsight-experience-replay icon hindsight-experience-replay

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

metaworld icon metaworld

Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

minari icon minari

Gymnasium for offline reinforcement learning

minigrid icon minigrid

Simple and easily configurable grid world environments for reinforcement learning

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