Pinned Repositories
GP_Sinkhorn
GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
benchmark_real_time_RL
multi_fidelity_experimental_design
multi_resolution_ice_sheet
optimization_meijer_space
Implement code for the report "Optimization In Meijer's Function Space"
Recurent-Temporal-Difference
temporal_regularization
Temporal Regularization for Markov Decision Process
WAVI.jl
WAVI ice sheet model
pierthodo's Repositories
pierthodo/temporal_regularization
Temporal Regularization for Markov Decision Process
pierthodo/multi_fidelity_experimental_design
pierthodo/benchmark_real_time_RL
pierthodo/multi_resolution_ice_sheet
pierthodo/Recurent-Temporal-Difference
pierthodo/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
pierthodo/dashboard_streamlit
pierthodo/optimization_meijer_space
Implement code for the report "Optimization In Meijer's Function Space"
pierthodo/WAVI.jl
WAVI ice sheet model
pierthodo/dreamerv2
Mastering Atari with Discrete World Models
pierthodo/emukit
A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
pierthodo/kafker
A tiny Kafka-driven text publishing social network service.
pierthodo/LED-s
pierthodo/mbrl-lib
Library for Model Based RL
pierthodo/napoleon_strat_sheet
pierthodo/neurips2014
Notebooks for managing NeurIPS 2014 and analysing the NeurIPS experiment.
pierthodo/notes
Note taking git repo
pierthodo/pierthodo.github.io
:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
pierthodo/py-pde
Python package for solving partial differential equations using finite differences.
pierthodo/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).
pierthodo/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
pierthodo/real_time_rl
pierthodo/rembg
Rembg is a tool to remove images background.
pierthodo/rtrl
PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)
pierthodo/seizure_prediction
pierthodo/spinningup
An educational resource to help anyone learn deep reinforcement learning.
pierthodo/talks
Talks from Neil Lawrence
pierthodo/TD3
PyTorch implementation of TD3 and DDPG for OpenAI gym tasks
pierthodo/temporal_regularization_thesis