Alternatives and similar repositories for dreaming_of_many_worlds

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

• chandar-lab / Recall2Imagine
  Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
  ☆71Updated last year
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆58Updated last year
• vivekmyers / contrastive_metrics
  Code for the paper "Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making"
  ☆27Updated last year
• facebookresearch / mtm
  MTM Masked Trajectory Models for Prediction, Representation, and Control.
  ☆158Updated 2 years ago
• keraJLi / synthetic-gymnax
  Drop-in environment replacements that make your RL algorithm train faster.
  ☆21Updated last year
• gauthamvasan / avg
  Action Value Gradient Algorithm
  ☆22Updated 3 months ago
• AutonomousAgentsLab / curiousreplay
  Implementations of Curious Replay for model-based adaptation.
  ☆41Updated 2 years ago
• YushuoLi / Gato-A-Generalist-Agent
  Minimal code for A Generalist Agent
  ☆42Updated 2 years ago
• rail-berkeley / SUPE
  This code accompanies the paper "Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration."
  ☆33Updated last month
• google-deepmind / envlogger
  A tool for recording RL trajectories.
  ☆107Updated 3 weeks ago
• marc-rigter / waker
  Official code for "Reward-Free Curricula for Training Robust World Models", ICLR 2024.
  ☆27Updated last year
• microsoft / Intrepid
  INTeractive learning via REPresentatIon Discovery
  ☆34Updated last year
• adityabingi / Dreamer
  Reproduction of Dreamerv1 and v2 in pytorch for deepmind control suite
  ☆43Updated 2 years ago
• facebookresearch / MRQ
  MR.Q is a general-purpose model-free reinforcement learning algorithm.
  ☆108Updated 2 months ago
• heatz123 / tldr
  Official code for TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations
  ☆33Updated 10 months ago
• luchris429 / popjaxrl
  Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]
  ☆110Updated last year
• WEIRDLabUW / dispo
  Distributional Successor Features Enable Zero-Shot Policy Optimization
  ☆12Updated 4 months ago
• AutonomousAgentsLab / cr-dv3
  DreamerV3 implementation of Curious Replay, a method for prioritizing experience replay that is tailored to model-based reinforcement lea…
  ☆36Updated 2 years ago
• CognitiveModeling / THICK
  ☆23Updated last year
• flowersteam / TeachMyAgent
  TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.
  ☆75Updated last year
• ZhengyaoJiang / latentplan
  Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
  ☆109Updated 2 years ago
• ml-jku / L2M
  Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
  ☆59Updated 10 months ago
• RLG-Leiden / edugym
  ☆15Updated last year
• vwxyzjn / a2c_is_a_special_case_of_ppo
  A2C is a special case of PPO!
  ☆22Updated 3 years ago
• UT-Austin-RPL / amago
  off-policy RL on long sequences
  ☆135Updated 2 weeks ago
• argmax-ai / aime
  Official repository for our paper on "Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models"
  ☆14Updated last year
• ucl-dark / pax
  Scalable Opponent Shaping Experiments in JAX
  ☆24Updated last year
• zoharri / mamba
  Meta-RL Model-Based Algorithm
  ☆40Updated 3 months ago
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆93Updated last year
• btnorman / First-Explore
  Repo to reproduce the First-Explore paper results
  ☆38Updated 8 months ago