kschweig

babyai

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

BCQ

Author's PyTorch implementation of BCQ for continuous and discrete actions

CCC

Code for CCC

d4rl

A benchmark for offline reinforcement learning.

DDU

Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty

disparate-benefits

The Disparate Benefits of Deep Ensembles

DissectOfflineRL

Dissect Offline Reinforcement Learning, what do we need wrt. datasets and buffer strategies to succeed in this setting.

entropybaseduq

error-parity

Achieve error-rate fairness between societal groups for any score-based classifier.

OfflineRL

Experiment for Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning

kschweig/OfflineRL

Experiment for Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning

kschweig/babyai

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

kschweig/BCQ

Author's PyTorch implementation of BCQ for continuous and discrete actions

kschweig/CCC

Code for CCC

kschweig/d4rl

A benchmark for offline reinforcement learning.

kschweig/DDU

Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty

kschweig/disparate-benefits

The Disparate Benefits of Deep Ensembles

kschweig/DissectOfflineRL

Dissect Offline Reinforcement Learning, what do we need wrt. datasets and buffer strategies to succeed in this setting.

kschweig/entropybaseduq

kschweig/error-parity

Achieve error-rate fairness between societal groups for any score-based classifier.

kschweig/GPT2-Volley

kschweig/gym-games

A gym version of various games for reinforcenment learning.

kschweig/hopfield-layers

Hopfield Networks is All You Need

kschweig/MinAtar

kschweig/offline-rl.github.io

kschweig/ProjectOfflineRL

Project work in the domain of offline RL

kschweig/python-zwoasi

Python binding for the ZWO ASI library. Control ZWO ASI cameras from python.

kschweig/shrinkbench-models

kschweig/SNNs

Tutorials and implementations for "Self-normalizing networks"

kschweig/spe2py

Loads Princeton Instruments LightField (SPE 3.0) files into a python environment.

kschweig/take_it_easy

Homebrew stochastic Reinforcement Learning environment to test various DRL algorithms on

kschweig/torch-sgld

SGLD and cSGLD as a PyTorch Optimizer

kschweig/understandingbdl