A beautiful, simple, clean, and responsive Jekyll theme for academics

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Code for the 2023 NeurIPS paper "Extracting Reward Functions from Diffusion Models"

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Clean PyTorch implementations of imitation and reward learning algorithms

Benchmark environments for reward modelling and imitation learning algorithms.

Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python

A library of reinforcement learning components and agents

MineRL Competition for Sample Efficient Reinforcement Learning - Python Package

PFRL: a PyTorch-based deep reinforcement learning library

Lightweight multi-agent gridworld Gym environment

RL starter files in order to immediatly train, visualize and evaluate an agent without writing any line of code

Pyro 4.x - Python remote objects

Minimalistic gridworld package for OpenAI Gym

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

yaspi - Yet Another Slurm Python Interface

Implementations of selected inverse reinforcement learning algorithms.

Gym for multi-agent reinforcement learning

A multi-agent environment for RL