renos

AgentKit

An intuitive LLM prompting framework for multifunctional agents, by explicitly constructing a complex "thought process" from simple natural language prompts.

CoDAIL

Implementation of CoDAIL in the ICLR 2021 paper <Multi-Agent Interactions Modeling with Correlated Policies>

Craftax

(Crafter + NetHack) in JAX

CS250-Homework-Problems-in-LaTeX

cs403homework

E.T.

Episodic Transformer (E.T.) is a novel attention-based architecture for vision-and-language navigation. E.T. is based on a multimodal transformer that encodes language inputs and the full episode history of visual observations and actions.

EfficientZero

Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.

Emergent-Multiagent-Strategies

Emergence of complex strategies through multiagent competition

envpool-1

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

irl-maxent

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

renos/AgentKit

An intuitive LLM prompting framework for multifunctional agents, by explicitly constructing a complex "thought process" from simple natural language prompts.

renos/CoDAIL

Implementation of CoDAIL in the ICLR 2021 paper <Multi-Agent Interactions Modeling with Correlated Policies>

renos/Craftax

(Crafter + NetHack) in JAX

renos/CS250-Homework-Problems-in-LaTeX

renos/cs403homework

renos/E.T.

Episodic Transformer (E.T.) is a novel attention-based architecture for vision-and-language navigation. E.T. is based on a multimodal transformer that encodes language inputs and the full episode history of visual observations and actions.

renos/EfficientZero

Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.

renos/Emergent-Multiagent-Strategies

Emergence of complex strategies through multiagent competition

renos/envpool-1

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

renos/irl-maxent

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

renos/neuralnetsfromscratch

renos/nsf

Code for Neural Spline Flows paper

renos/OC_Atari

Object Centric Atari games

renos/pyro

Deep universal probabilistic programming with Python and PyTorch

renos/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.

renos/rl-concepts

renos/robot

renos/Stoix

🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL