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causal-rl

CRL by using Observational and interventional data

cid-in-rl

Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Martius, G., NeurIPS 2021

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

dear

Disentangled gEnerative cAusal Representation (DEAR)

grader

This is the official implementation of NeurIPS 2022 paper "Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning"

grounding_llms_with_online_rl

We perform functional grounding of LLMs' knowledge in BabyAI-Text

llm4rl

A RL approach to enable cost-effective, intelligent interactions between a local agent and a remote LLM

ppo-implementation-details

The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

reasoning-teacher

[ACL 2023] Large Language Models Are Reasoning Teachers

rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

rl-deepmind-stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

sac-discrete.pytorch

PyTorch implementation of SAC-Discrete.

sac-q

PyTorch implementation of SAC-Q Reinforcement Learning Algorithm (tested on OpenAI Gym environments)

scenic

Scenic: A Jax Library for Computer Vision Research and Beyond

stable-baselines3

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

test

wrs

The WRS Robot Planning & Control System