Alternatives and similar repositories for mbpo

Users that are interested in mbpo are comparing it to the libraries listed below

• AboudyKreidieh / h-baselines
  A repository of high-performing hierarchical reinforcement learning models and algorithms.
  ☆327Updated 2 years ago
• nikhilbarhate99 / Hierarchical-Actor-Critic-HAC-PyTorch
  PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
  ☆329Updated 3 years ago
• katerakelly / oyster
  Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)
  ☆503Updated 2 years ago
• denisyarats / pytorch_sac
  PyTorch implementation of Soft Actor-Critic (SAC)
  ☆567Updated 3 years ago
• kchua / handful-of-trials
  Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
  ☆465Updated 2 years ago
• andrew-j-levy / Hierarchical-Actor-Critc-HAC-
  This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.
  ☆264Updated 5 years ago
• TianhongDai / hindsight-experience-replay
  This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.
  ☆436Updated 3 years ago
• aviralkumar2907 / CQL
  Code for conservative Q-learning
  ☆462Updated 3 years ago
• sfujim / BCQ
  Author's PyTorch implementation of BCQ for continuous and discrete actions
  ☆642Updated 4 years ago
• WilsonWangTHU / mbbl
  ☆397Updated 6 years ago
• sfujim / TD3_BC
  Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL
  ☆376Updated 3 years ago
• toshikwa / sac-discrete.pytorch
  PyTorch implementation of SAC-Discrete.
  ☆310Updated last year
• openai / safety-starter-agents
  Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.
  ☆446Updated 2 years ago
• quanvuong / handful-of-trials-pytorch
  Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
  ☆194Updated 2 years ago
• rlcode / per
  Prioritized Experience Replay (PER) implementation in PyTorch
  ☆354Updated 5 years ago
• denisyarats / pytorch_sac_ae
  PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
  ☆252Updated 5 years ago
• twni2016 / pomdp-baselines
  Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
  ☆339Updated last year
• schroederdewitt / multiagent_mujoco
  Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.
  ☆362Updated 2 years ago
• Farama-Foundation / D4RL-Evaluations
  ☆203Updated 2 years ago
• reinforcement-learning-kr / lets-do-irl
  Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)
  ☆763Updated last year
• BY571 / Soft-Actor-Critic-and-Extensions
  PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…
  ☆291Updated 4 years ago
• justinjfu / inverse_rl
  ☆273Updated 7 years ago
• openai / safety-gym
  Tools for accelerating safe exploration research.
  ☆566Updated 2 years ago
• lcswillems / torch-ac
  Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
  ☆206Updated 3 years ago
• danijar / dreamer
  Dream to Control: Learning Behaviors by Latent Imagination
  ☆562Updated 4 years ago
• RchalYang / torchrl
  Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
  ☆229Updated 3 years ago
• vitchyr / multiworld
  Multitask Environments for RL
  ☆280Updated 4 years ago
• yrlu / irl-imitation
  Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
  ☆648Updated last year
• toshikwa / fqf-iqn-qrdqn.pytorch
  PyTorch implementation of FQF, IQN and QR-DQN.
  ☆186Updated last year
• schatty / oprl
  A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing
  ☆137Updated 2 months ago