Alternatives and similar repositories for rewind-reward-pytorch

Users that are interested in rewind-reward-pytorch are comparing it to the libraries listed below

• ml-jku / LRAM
  A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
  ☆35Updated 9 months ago
• lucidrains / x-transformers-rl
  Implementation of a transformer for reinforcement learning using `x-transformers`
  ☆66Updated 3 weeks ago
• lucidrains / firefly-torch
  Exploration into the Firefly algorithm in Pytorch
  ☆40Updated 6 months ago
• codingfisch / flashrl
  Fast reinforcement learning 💨
  ☆26Updated last month
• kyegomez / AutoRT
  Implementation of AutoRT: "AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents"
  ☆40Updated 9 months ago
• lucidrains / SAC-pytorch
  Implementation of Soft Actor Critic and some of its improvements in Pytorch
  ☆59Updated 6 months ago
• CLAIRE-Labo / EvoTune
  Efficiently discovering algorithms via LLMs with evolutionary search and reinforcement learning.
  ☆106Updated 3 weeks ago
• lucidrains / vit-arc-slot
  Explorations into improving ViTArc with Slot Attention
  ☆42Updated 10 months ago
• kyegomez / awesome-robotic-foundation-models
  A vast array of Multi-Modal Embodied Robotic Foundation Models!
  ☆26Updated last year
• PufferAI / PufferTank
  ☆43Updated last month
• kyegomez / MobileVLM
  Implementation of the LDP module block in PyTorch and Zeta from the paper: "MobileVLM: A Fast, Strong and Open Vision Language Assistant …
  ☆15Updated last year
• lucidrains / EvoTune
  Efficiently discovering algorithms via LLMs with evolutionary search and reinforcement learning.
  ☆16Updated 4 months ago
• kyegomez / OpenStrawberry
  An open source replication of the stawberry method that leverages Monte Carlo Search with PPO and or DPO
  ☆31Updated last week
• facebookresearch / macta
  MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection
  ☆45Updated 2 years ago
• rail-berkeley / SUPE
  This code accompanies the paper "Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration."
  ☆33Updated last month
• okarthikb / state-space-models
  ☆27Updated last year
• Improbable-AI / orso
  ☆14Updated 6 months ago
• lucidrains / evolutionary-policy-optimization
  Pytorch implementation of Evolutionary Policy Optimization, from Wang et al. of the Robotics Institute at Carnegie Mellon University
  ☆97Updated 3 weeks ago
• CEC-Agent / CEC
  Official Implementation of NeurIPS'23 Paper "Cross-Episodic Curriculum for Transformer Agents"
  ☆31Updated last year
• lucidrains / scaling-vin-pytorch
  Exploration into the Scaling Value Iteration Networks paper, from Schmidhuber's group
  ☆36Updated 11 months ago
• sebbyjp / robo_transformers
  ☆18Updated 2 weeks ago
• andrew-silva / clean-rl-mlx
  Clean RL implementation using MLX
  ☆32Updated last year
• NVlabs / gbrl
  Gradient Boosting Reinforcement Learning (GBRL)
  ☆118Updated 2 weeks ago
• lucidrains / improving-transformers-world-model-for-rl
  Implementation of the new SOTA for model based RL, from the paper "Improving Transformer World Models for Data-Efficient RL", in Pytorch
  ☆130Updated 3 months ago
• lucidrains / mind-evolution
  Implementation of Mind Evolution, Evolving Deeper LLM Thinking, from Deepmind
  ☆56Updated 2 months ago
• BricksRL / bricksrl
  BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO
  ☆62Updated 10 months ago
• AutonomousAgentsLab / curiousreplay
  Implementations of Curious Replay for model-based adaptation.
  ☆41Updated 2 years ago
• btnorman / First-Explore
  Repo to reproduce the First-Explore paper results
  ☆38Updated 8 months ago
• google-deepmind / agent_debugger
  Causal Analysis of Agent Behavior for AI Safety
  ☆18Updated 2 years ago
• facebookresearch / galactic
  Galactic Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second
  ☆84Updated 2 years ago