Alternatives and similar repositories for mcac

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

• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆37Updated 3 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆41Updated 3 years ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆82Updated 2 years ago
• scottemmons / rvs
  Reinforcement Learning via Supervised Learning
  ☆72Updated 3 years ago
• rll-research / cic
  CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
  ☆83Updated 3 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 6 months ago
• facebookresearch / entity-factored-rl
  Source code for the paper "Policy Architectures for Compositional Generalization in Control"
  ☆30Updated 3 years ago
• clvrai / coordination
  Learning to Coordinate Manipulation Skills via Skill Behavior Diversification (ICLR 2020)
  ☆49Updated 3 years ago
• tonyzhaozh / meld
  MELD: Meta-Reinforcement Learning from Images via Latent State Models https://arxiv.org/abs/2010.13957
  ☆67Updated 4 years ago
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆71Updated 6 months ago
• qgallouedec / lge
  ☆32Updated last year
• yobibyte / amorpheus
  My Body Is A Cage
  ☆41Updated 4 years ago
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆34Updated 2 years ago
• sdpkjc / abcdrl
  Modular Single-file Reinfocement Learning Algorithms Library
  ☆38Updated 2 years ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆57Updated last month
• seohongpark / METRA
  METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)
  ☆84Updated 2 years ago
• ahmed-touati / controllable_agent
  ☆55Updated 2 years ago
• rmst / rlrd
  PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)
  ☆43Updated 3 years ago
• rmrafailov / LOMPO
  Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models
  ☆31Updated 4 years ago
• yuchen-x / MacroMARL
  ☆24Updated last year
• orybkin / lexa-benchmark
  ☆42Updated 3 years ago
• seohongpark / PMA
  Predictable MDP Abstraction for Unsupervised Model-Based RL (ICML 2023)
  ☆32Updated 3 years ago
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆57Updated last year
• pairlab / vagram
  [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.
  ☆25Updated 2 years ago
• ZhengyaoJiang / latentplan
  Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
  ☆111Updated 2 years ago
• tseyde / decqn
  ☆35Updated 3 years ago
• dsbrown1331 / CoRL2019-DREX
  Code and project page for D-REX algorithm from the paper "Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrat…
  ☆51Updated 3 years ago
• sahandrez / homomorphic_policy_gradient
  Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024
  ☆24Updated last year
• frt03 / jax_dt
  Minimal Decision Transformer Implementation written in Jax (Flax).
  ☆17Updated 3 years ago
• flowersteam / TeachMyAgent
  TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.
  ☆76Updated 2 years ago