marianophielipp Goto Github PK

3d-bin-packing

Solving the 3D bin packing problem with reinforcement learning

aop

Codebase for Adaptive Online Planning

berkeley-deep-rl-pytorch-solutions

Pytorch solutions for UC Berkeley's cs285 assignments

collab_drl

collab_pytorch_drl

Material for a short tutorial about PyTorch and Stable Baselines

curiousagents

This repo explores ideas that can maybe in future be used to scale reinforcement learning to larger real world problems.

design-bench-mirror

marianophielipp.github.io

webapge

mish

Mish: A Self Regularized Non-Monotonic Neural Activation Function

policy-gradient-methods

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

practicals-2019

Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.

pytorch

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.

reinforcement_learning_tutorial_with_demo

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

rl-adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

rl-tutorial-jnrr19

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

robotics-rl-srl

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

sau-explore

Code for the NeurIPS 2021 paper "Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networkst"

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