Topic: model-based-rl Goto Github
Some thing interesting about model-based-rl
Some thing interesting about model-based-rl
model-based-rl,Reinforcement learning algorithms in RLlib
User: 0xangelo
model-based-rl,Reinforcement Learning Research Project - World models that are continuously updated as curious agents explore the environment - Course project for Foundations of Intelligent and Learning Agents(CS747)
User: akhandait
model-based-rl,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-rl,
User: aravindsrinivas
model-based-rl,Reimplementation of "An Object-Oriented Representation for Efficient RL"
User: borea17
model-based-rl,Reinforcement Learning Short Course
User: callmespring
model-based-rl,Model-based Reinforcement Learning Framework
Organization: cap-ntu
Home Page: https://baconian-public.readthedocs.io/en/latest/
model-based-rl,
Organization: chandar-lab
model-based-rl,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-rl,Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch
User: ctallec
model-based-rl,My reading list for model-based control
User: danfeix
model-based-rl,World Models with A3C on Carracing-v0 in gym
Organization: deepest-project
model-based-rl,Model-based reinforcement learning using CEM, MPC and PETS
User: dhananjaisharma10
model-based-rl,Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework
User: erfanmhi
Home Page: http://rll.berkeley.edu/deeprlcourse/
model-based-rl,Model based RL for fault-rotor quadrotor
User: ericktornero
model-based-rl,JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
User: evgenii-nikishin
model-based-rl,The Reinforcement-Learning-Related Papers of ICLR 2019
User: ewanlee
model-based-rl,Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.
Organization: google-research
model-based-rl,A model-based approach to novelty search in reinforcement learning
User: guillaumedufau
model-based-rl,PyTorch implementation of "Learning Stable Deep Dynamics Models" (https://papers.nips.cc/paper/9292-learning-stable-deep-dynamics-models), with extensions to controlled dynamical systems.
User: harwiltz
model-based-rl,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-rl,Pytorch implementation of Model Predictive Control with learned models
User: i-abr
model-based-rl,Muesli RL algorithm implementation (PyTorch) (LunarLander-v2)
User: itomigna2
model-based-rl,Model-based Offline Policy Optimization re-implement all by pytorch
User: junming-yang
model-based-rl,Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
User: kchua
model-based-rl,MBRL library in JAX
User: kchua
model-based-rl,Pytorch Implementation of MuZero
User: koulanurag
model-based-rl,[ICML 2021] Learning Task Informed Abstractions -- a representation learning approach for model-based RL in complex visual domains
User: kyonofx
Home Page: https://xiangfu.co/tia
model-based-rl,Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)
User: linzichuan
model-based-rl,
User: mbhenaff
model-based-rl,A PyTorch implementation of DeepMind's MuZero agent
User: michaelnny
model-based-rl,This repository contains all of the Reinforcement Learning-related projects I've worked on. The projects are part of the graduate course at the University of Tehran.
User: narjesno
model-based-rl,Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
Organization: nnaisense
Home Page: https://arxiv.org/abs/1810.12162
model-based-rl,Bayesian Reinforcement Learning in Tensorflow
User: nrontsis
model-based-rl,ReLAx - Reinforcement Learning Applications Library
User: nslyubaykin
model-based-rl,A curated list of awesome model based RL resources (continually updated)
Organization: opendilab
model-based-rl,Sampling based Model Predictive Control package for Model-Based RL research
User: ossamaahmed
model-based-rl,Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.
Organization: penn-pal-lab
Home Page: https://penn-pal-lab.github.io/peg/
model-based-rl,Toolkit of Causal Model-based Reinforcement Learning.
Organization: polixir
model-based-rl,Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
User: quanvuong
model-based-rl,Codes for "Efficient Offline Policy Optimization with a Learned Model", ICLR2023
Organization: sail-sg
Home Page: https://arxiv.org/abs/2210.05980
model-based-rl,Learning to paint using Model-based Deep Reinforcement Learning
User: sarthak268
model-based-rl,This repo contains implementations of algorithms such a Q-learning, SARSA, TD, Policy gradient
User: shreeshan
model-based-rl,PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
User: shunichi09
model-based-rl,World Model based Autonomous Driving Platform in CARLA :car:
Organization: ucd-dare
model-based-rl,MuZero
User: werner-duvaud
Home Page: https://github.com/werner-duvaud/muzero-general/wiki/MuZero-Documentation
model-based-rl,Re-implementations of SOTA RL algorithms.
User: x35f
model-based-rl,A pytorch implementation of A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation.
User: xueyingbai
model-based-rl,Related papers for reinforcement learning, including classic papers and latest papers in top conferences
User: yingchengyang
model-based-rl,Code for "Model-based Reinforcement Learning for Continuous Control with Posterior Sampling", ICML 2021
User: yingfan-bot
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