Alternatives and similar repositories for Transform2Act:

Users that are interested in Transform2Act are comparing it to the libraries listed below

• apexrl / GCRL-Collection
  This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…
  ☆117Updated last year
• cccedric / cpql
  This is the official PyTorch implementation of the paper "Boosting Continuous Control with Consistency Policy".
  ☆31Updated 9 months ago
• yobibyte / amorpheus
  My Body Is A Cage
  ☆39Updated 3 years ago
• ZhengyaoJiang / latentplan
  Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
  ☆104Updated last year
• clvrai / skimo
  Skill-based Model-based Reinforcement Learning (CoRL 2022)
  ☆55Updated 2 years ago
• seohongpark / ogbench
  A benchmark for offline goal-conditioned RL and offline RL
  ☆121Updated last week
• penn-pal-lab / peg
  Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.
  ☆77Updated 9 months ago
• younggyoseo / apv
  ☆69Updated 2 years ago
• BellmanTimeHut / DIPO
  ☆89Updated last year
• SafeRL-Lab / Robust-Gymnasium
  🔥 Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.
  ☆21Updated this week
• sail-sg / edp
  [NeurIPS 2023] Efficient Diffusion Policy
  ☆92Updated last year
• wechto / paper
  Reading List
  ☆33Updated last year
• FangchenLiu / MaskDP_public
  Code for "Masked Autoencoding for Scalable and Generalizable Decision Making". NeurIPS 2022
  ☆43Updated 11 months ago
• kevinzakka / ibc
  A PyTorch implementation of Implicit Behavioral Cloning
  ☆99Updated 2 years ago
• CUN-bjy / policy-distillation-baselines
  Pytorch Implementation of Policy Distillation for control, which has well-trained teachers via stable_baselines3.
  ☆56Updated 3 years ago
• srzer / LaMo-2023
  Official code for "Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning".
  ☆39Updated 10 months ago
• thu-ml / SRPO
  Codes accompanying the paper "Score Regularized Policy Optimization through Diffusion Behavior" (ICLR 2024).
  ☆42Updated last year
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆67Updated 7 months ago
• trzhang0116 / HRAC
  PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020 spot…
  ☆38Updated last year
• steventango / jumpstart-rl
  Implementation of Jump-Start Reinforcement Learning (JSRL) with Stable Baselines3
  ☆29Updated last year
• alirezakazemipour / DIAYN-PyTorch
  Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.
  ☆65Updated last year
• PKU-RL / CORRO
  CORRO code
  ☆35Updated 2 years ago
• MahanFathi / Model-Based-RL
  Model-based Policy Gradients
  ☆30Updated 4 years ago
• jhejna / few-shot-preference-rl
  ☆33Updated last year
• JasonMa2016 / GoFAR
  Official repository for Paper "Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression" (NeurIPS 2022)
  ☆35Updated last year
• mxu34 / prompt-dt
  Official code repository for Prompt-DT.
  ☆102Updated 2 years ago
• namsan96 / SiMPL
  ☆47Updated last year
• russellmendonca / mier_public
  ☆13Updated last year
• chauncygu / Safe-Multi-Agent-Isaac-Gym
  Safe Multi-Agent Isaac Gym benchmark for safe multi-agent reinforcement learning research.
  ☆58Updated last month
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆98Updated 8 months ago