amuni3

amuni3's Stars

• hamishs/JAX-RL

  JAX implementations of various deep reinforcement learning algorithms.

  Language:Python193

• amzn/auction-gym

  AuctionGym is a simulation environment that enables reproducible evaluation of bandit and reinforcement learning methods for online advertising auctions.

  Language:Jupyter Notebook14437

• google-deepmind/opro

  official code for "Large Language Models as Optimizers"

  Language:Python39238

• Farama-Foundation/HighwayEnv

  A minimalist environment for decision-making in autonomous driving

  Language:Python2.6k739

• federicovergallo/SUMO-changing-lane-agent

  Implementation of a reinforcement learning agent able to do autonomous changing lane using Sumo

  Language:Python6516

• awjuliani/successor_examples

  Tutorials on learning and using successor representations.

  Language:Jupyter Notebook5014

• KaiYan289/RLpapersnote

  382

• Toni-SM/skrl

  Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab

  Language:Python51847

• haarnoja/softqlearning

  Reinforcement Learning with Deep Energy-Based Policies

  Language:Python41194

• Neo2308/MellowMax-RL

  Language:Jupyter Notebook1

• Cloud0723/Offline-MLIRL

  Language:Python92

• jxzhangjhu/awesome-LLM-controlled-decoding-generation

  awesome-LLM-controlled-constrained-generation

  161

• Div99/IQ-Learn

  (NeurIPS '21 Spotlight) IQ-Learn: Inverse Q-Learning for Imitation

  Language:Python19831

• gucino/learning-Racetrack-environment-using-First-Visit-Monte-Carlo-SARSA-and-Q-Learning

  Language:Python52

• vojtamolda/reinforcement-learning-an-introduction

  Solutions to exercises in Reinforcement Learning: An Introduction (2nd Edition).

  Language:Jupyter Notebook32974

• sebjai/robust-risk-aware-rl

  Some implementations from the paper robust risk aware reinforcement learning

  Language:Jupyter Notebook3313

• leopard-ai/betty

  Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization

  Language:Python32927

• lezcano/geotorch

  Constrained optimization toolkit for PyTorch

  Language:Python64934

• benchopt/benchmark_bilevel

  Benchmark for bi-level optimization solvers

  Language:Python346

• crowsonkb/mdmm-jax

  Gradient-based constrained optimization for JAX

  Language:Python25

• kenjyoung/MinAtar

  Language:Python28256

• clementsw/risk-and-uncertainty

  Code associated with our paper "Estimating Risk and Uncertainty in Reinforcement Learning"

  1

• LucasCJYSDL/DGMs-for-Offline-Policy-Learning

  This repository provides a survey on the applications of deep generative models for offline reinforcement learning and imitation learning. We cover multiple deep generative models, including VAEs, GANs, Normalizing Flows, Transformers, and Diffusion Models.

  262

• amuni3/WCSAC

  Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"

  1

• zaiyan-x/RFQI

  Implementation of Robust Reinforcement Learning using Offline Data [NeurIPS'22]

  Language:Python223

• zchoi/Awesome-Embodied-Agent-with-LLMs

  This is a curated list of "Embodied AI or robot with Large Language Models" research. Watch this repository for the latest updates! 🔥

  89648

• kirui93/MasterThesis

  The files contained in this repository were used for implementing the three models in my master thesis. My master thesis title is "Comparison of different portfolio optimization problems with different risk measures".

  Language:Jupyter Notebook31

• NrLabFreiburg/inverse-q-learning

  Language:Python134

• ThibautTheate/Risk-Sensitive-Policy-with-Distributional-Reinforcement-Learning

  Official implementation of the algorithmic approach presented in the research paper entitled "Risk-Sensitive Policy with Distributional Reinforcement Learning".

  Language:Python15

• cvxgrp/cvxpylayers

  Differentiable convex optimization layers

  Language:Python1.8k159