Topic: model-based-reinforcement-learning Goto Github
Some thing interesting about model-based-reinforcement-learning
Some thing interesting about model-based-reinforcement-learning
model-based-reinforcement-learning,Adaptable tools to make reinforcement learning and evolutionary computation algorithms.
User: 09tangriro
model-based-reinforcement-learning,The Hierarchical Intrinsically Motivated Agent (HIMA) is an algorithm that is intended to exhibit an adaptive goal-directed behavior using neurophysiological models of the neocortex, basal ganglia, and thalamus.
Organization: airi-institute
model-based-reinforcement-learning,This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm" accepted at NeurIPS 2022.
User: akjayant
model-based-reinforcement-learning,Learning Robust Dynamics Through Variational Sparse Gating
User: arnavkj1995
model-based-reinforcement-learning,Model-based reinforcement learning in TensorFlow
Organization: bellman-devs
Home Page: https://bellman.dev
model-based-reinforcement-learning,Model-based Reinforcement Learning Framework
Organization: cap-ntu
Home Page: https://baconian-public.readthedocs.io/en/latest/
model-based-reinforcement-learning,Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
Organization: chandar-lab
Home Page: https://recall2imagine.github.io/
model-based-reinforcement-learning,Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
User: chauvinsimon
model-based-reinforcement-learning,Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing
Organization: cps-tuwien
model-based-reinforcement-learning,
User: danielpalen
model-based-reinforcement-learning,JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
User: evgenii-nikishin
model-based-reinforcement-learning,Library for Model Based RL
Organization: facebookresearch
model-based-reinforcement-learning,Personal Deep Reinforcement Learning class notes
User: filippogiruzzi
model-based-reinforcement-learning,A curated list of awesome Model-based reinforcement learning resources
User: hejia-zhang
model-based-reinforcement-learning,A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environments.
User: hr0nix
model-based-reinforcement-learning,An implementation of MuZero in JAX.
User: hwhitetooth
model-based-reinforcement-learning,Pytorch implementation of Model Predictive Control with learned models
User: i-abr
model-based-reinforcement-learning,Implementation of the paper <Model-based Reinforcement Learning for Predictions and Control for Limit Order Books (Wei et al., J.P. Morgan AI Research, 2019)>.
User: jeonghwan-cheon
model-based-reinforcement-learning,(Experimental, a lot of bugs) Advanced automatic fingering generator for piano scores, determining optimal fingering using Model-Based Reinforcement Learning, written in the Julia language.
Organization: juliamusic
model-based-reinforcement-learning,Official implementation of L4DC 2023 paper Transition Occupancy Matching -Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching
User: kausiksivakumar
model-based-reinforcement-learning,Code for "Dream and Search to Control: Latent Space Planning for Continuous Control"
User: koulanurag
Home Page: https://arxiv.org/abs/2010.09832
model-based-reinforcement-learning,Code for Tackling Long-Horizon Tasks with Model-based Offline Reinforcement Learning
User: kwanyoungpark
Home Page: https://kwanyoungpark.github.io/LEQ/
model-based-reinforcement-learning,Soft Actor-Critic implementation with SOTA model-free extension (REDQ) and SOTA model-based extension (MBPO).
User: lucasalegre
model-based-reinforcement-learning,Code for "World Model as a Graph: Learning Latent Landmarks for Planning" (ICML 2021 Long Presentation)
User: lunjunzhang
Home Page: https://sites.google.com/view/latent-landmarks/
model-based-reinforcement-learning,The repo for the FERMI FEL paper using model-based and model-free reinforcement learning methods to solve a particle accelerator operation problem.
User: mathphyssim
model-based-reinforcement-learning,A curated list of awesome model based RL resources (continually updated)
Organization: opendilab
model-based-reinforcement-learning,OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
Organization: opendilab
Home Page: https://di-engine-docs.readthedocs.io
model-based-reinforcement-learning,DI-engine docs (Chinese and English)
Organization: opendilab
Home Page: https://di-engine-docs.readthedocs.io
model-based-reinforcement-learning,Code for "Know Thyself: Transferable Visual Control Policies Through Robot-Awareness" (ICLR 22)
Organization: penn-pal-lab
Home Page: https://edwardshu.com/rac/
model-based-reinforcement-learning,Official codebase for "Privileged Sensing Scaffolds Reinforcement Learning", contains the Scaffolder algorithm and Sensory Scaffolding Suite.
Organization: penn-pal-lab
Home Page: https://penn-pal-lab.github.io/scaffolder/
model-based-reinforcement-learning,A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Organization: pytorch
Home Page: https://pytorch.org/rl
model-based-reinforcement-learning,Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
User: quanvuong
model-based-reinforcement-learning,OpenAI Gym blackjack environment (v1)
User: rhalbersma
model-based-reinforcement-learning,[AAAI 2022] The official implementation of "DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning"
User: ryanxhr
model-based-reinforcement-learning,Codes for "Efficient Offline Policy Optimization with a Learned Model", ICLR2023
Organization: sail-sg
Home Page: https://arxiv.org/abs/2210.05980
model-based-reinforcement-learning,Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments
User: simonrennotte
model-based-reinforcement-learning,Control simulation of a mass-spring-damper system using a model-based reinforcement learning algorithm
User: stephenadhi
model-based-reinforcement-learning,Numerical Evidence for Sample Efficiency of Model-Based over Model-Free Reinforcement Learning Control of Partial Differential Equations [ECC'24]
User: stwerner97
model-based-reinforcement-learning,Code release for "HarmonyDream: Task Harmonization Inside World Models" (ICML 2024), https://arxiv.org/abs/2310.00344
Organization: thuml
model-based-reinforcement-learning,Official repo for "iVideoGPT: Interactive VideoGPTs are Scalable World Models", https://arxiv.org/abs/2405.15223
Organization: thuml
Home Page: https://thuml.github.io/iVideoGPT/
model-based-reinforcement-learning,Master's thesis on model-based intrinsically motivated reinforcement learning in robotic control
User: timtody
model-based-reinforcement-learning,We developed a task-driven hybrid model reduction method for solving dexterous manipulation with 5 minutes of online learning.
User: wanxinjin
Home Page: https://wanxinjin.github.io/td_hybridreduction/
model-based-reinforcement-learning,Code to reproduce the experiments in Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation (MEEE).
User: yaoyao1995
model-based-reinforcement-learning,Dreamer on JAX
User: yardenas
model-based-reinforcement-learning,LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization
User: yardenas
model-based-reinforcement-learning,Related papers for reinforcement learning, including classic papers and latest papers in top conferences
User: yingchengyang
model-based-reinforcement-learning,Deep active inference agents using Monte-Carlo methods
User: zfountas
model-based-reinforcement-learning,Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
User: zhengyaojiang
Home Page: https://sites.google.com/view/latentplan
model-based-reinforcement-learning,这是一个关于基于模型的强化学习的资料,包括一些代码地址、paper、slide等。
User: zhongz-wang
model-based-reinforcement-learning,Code for Asynchronous Methods for Model-Based Reinforcement Learning
User: zzyunzhi
Home Page: https://sites.google.com/view/asynch-mb-rl
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