lasgroup Goto Github PK

aceirl

Implementation of "Active Exploration for Inverse Reinforcement Learning (AceIRL), NeurIPS 2022.

adaga

adaptive-constraint-learning

Code accompanying the paper "Interactively Learning Preference Constraints in Linear Bandits" (ICML 2022).

alexp

Simultaneous Online Optimization and Model Selection, based on the paper "Anytime Model Selection for Linear Bandits"

ares-mars

Python 3.6 and TensorFlow implementation of the AReS and MaRS algorithms

bayesian_statistical_models

cocorl

Code for Convex Constraint Learning for RL

dgm

fgpgm

gnnbo

Code for our paper "Graph Neural Network Bandits"

gosafeopt

Globally Safe Model-free Exploration of Dynamical Systems

jax-cpo

Implementation of Constrained Policy Optimization with JAX

lbsgd-rl

Implementation of Log Barriers SGD used in the RL experiment of the "Log Barriers for Safe Optimization of Smooth Objectives and Constraints with Application to Reinforcement Learning" paper.

model-based-policy-optimizers

Model based policy optimizers

odin

Python 3.6 and TensorFlow implementation of the ODIN algorithm

opax

safe-adaptation-agents

Implementation of adaptive constrained RL algorithms. Child repository of @lasgroup/safe-adaptation-gym

safe-adaptation-gym

A Safety-Gym based benchmark suite for safe meta RL

simulation_transfer

Transferring inductive bias / prior knowledge from domain specific simulations and models

stable-ndde

ushcn_dgm