Alternatives and similar repositories for MTS3

Users that are interested in MTS3 are comparing it to the libraries listed below

• CognitiveModeling / THICK
  ☆27Updated last year
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆104Updated 3 months ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆82Updated 2 years ago
• sukhijab / maxinforl_jax
  ☆27Updated last week
• cvoelcker / reppo
  Official Code for "Relative Entropy Pathwise Policy Optimization"
  ☆40Updated this week
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆94Updated 2 years ago
• machado-research / AgarCL
  Agar.io for Continual Reinforcement Learning
  ☆23Updated 5 months ago
• SonyResearch / simba
  ☆116Updated 10 months ago
• seohongpark / METRA
  METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)
  ☆81Updated 2 years ago
• jurgisp / memory-maze
  Evaluating long-term memory of reinforcement learning algorithms
  ☆161Updated 2 years ago
• ahmed-touati / controllable_agent
  ☆54Updated 2 years ago
• jrobine / twm
  Transformer-based World Models
  ☆87Updated 2 years ago
• kvfrans / rlbase_stable
  ☆44Updated last year
• ikostrikov / jaxrl2
  ☆52Updated 3 years ago
• RajGhugare19 / stitching-is-combinatorial-generalisation
  [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.
  ☆23Updated last year
• ShaneFlandermeyer / tdmpc2-jax
  Jax/Flax Implementation of TD-MPC2
  ☆70Updated last week
• quasimetric-learning / quasimetric-rl
  Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023
  ☆53Updated 8 months ago
• google-deepmind / dmc_vision_benchmark
  ☆31Updated last year
• changchencc / TransDreamer
  Code for TRANSDREAMER: REINFORCEMENT LEARNING WITH TRANSFORMER WORLD MODELS
  ☆28Updated 2 years ago
• seohongpark / CSD-locomotion
  Controllability-Aware Unsupervised Skill Discovery (ICML 2023)
  ☆28Updated 2 years ago
• ikostrikov / dmcgym
  ☆23Updated 3 years ago
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆37Updated 3 years ago
• orybkin / lexa
  Discovering and Achieving Goals via World Models, NeurIPS 2021
  ☆86Updated last year
• nissymori / JAX-CORL
  Clean single-file implementation of offline RL algorithms in JAX
  ☆165Updated last month
• ZhengyaoJiang / latentplan
  Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
  ☆111Updated 2 years ago
• penn-pal-lab / peg
  Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.
  ☆81Updated last year
• luchris429 / popjaxrl
  Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]
  ☆112Updated 2 years ago
• cross32768 / Dreamer_PyTorch
  Unofficial Re-implementation of "Dream to Control: Learning Behaviors by Latent Imagination" (https://arxiv.org/abs/1912.01603 ) with PyT…
  ☆32Updated 5 years ago
• mazpie / mastering-urlb
  [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …
  ☆40Updated last year
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆57Updated last year