Alternatives and similar repositories for ube-mbrl

Users that are interested in ube-mbrl are comparing it to the libraries listed below

• ikostrikov / dmcgym
  ☆23Updated 2 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆39Updated 2 years ago
• info-structures / ais
  This repository contains the code for RL for POMDPs through learning an Approximate Information State.
  ☆21Updated 3 years ago
• sdpkjc / abcdrl
  Modular Single-file Reinfocement Learning Algorithms Library
  ☆37Updated 2 years ago
• fusion-ml / trajectory-information-rl
  Bayesian active RL (BARL) and trajectory information planning (TIP)
  ☆25Updated 2 years ago
• sahandrez / homomorphic_policy_gradient
  Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024
  ☆23Updated last year
• omron-sinicx / action-constrained-RL-benchmark
  ☆24Updated last year
• QData / dmc_remastered
  A version of the DeepMind Control Suite with randomly generated graphics, for measuring visual generalization in continuous control.
  ☆18Updated 4 years ago
• yuchen-x / MacroMARL
  ☆21Updated last year
• zhaoyi11 / tcrl
  ☆24Updated last year
• pairlab / vagram
  [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.
  ☆24Updated 2 years ago
• martius-lab / pink-noise-rl
  ☆42Updated 2 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆39Updated 7 months ago
• facebookresearch / entity-factored-rl
  Source code for the paper "Policy Architectures for Compositional Generalization in Control"
  ☆30Updated 3 years ago
• BrunoKM / deep-pilco-torch
  Deep PILCO PyTorch Implementation
  ☆15Updated 2 years ago
• zuzuba / CISR_NeurIPS20
  ☆18Updated 4 years ago
• sebascuri / hucrl
  ☆30Updated last year
• tseyde / decqn
  ☆36Updated 2 years ago
• kchua / mbrl-jax
  MBRL library in JAX
  ☆10Updated 2 years ago
• SafeRL-Lab / Uncertainty-in-RL
  The repository is for Reinforcement-Learning Uncertainty research, in which we investigate various uncertain factors in RL.
  ☆21Updated 2 years ago
• hari-sikchi / DVL
  A Dual-RL method DVL: Dual-V Learning for offline and online reinforcement learning
  ☆11Updated last year
• polixir / causal-mbrl
  Toolkit of Causal Model-based Reinforcement Learning.
  ☆34Updated 2 years ago
• ikostrikov / jaxrl2
  ☆47Updated 2 years ago
• ben-eysenbach / mnm
  Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"
  ☆20Updated 3 years ago
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆37Updated 2 years ago
• holarissun / RewardShifting
  Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL
  ☆30Updated last year
• MaxSobolMark / OOO
  Official repo for Offline RL for Online RL
  ☆17Updated last year
• StanfordASL / BaRC
  Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoo…
  ☆12Updated 7 years ago
• twni2016 / self-predictive-rl
  Bridging State and History Representations: Understanding Self-Predictive RL -- ICLR 2024
  ☆20Updated last year
• uoe-agents / derl
  The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)
  ☆27Updated 3 years ago