EmptyJackson / policy-guided-diffusion

Related projects: ⓘ

• Lei-Kun / Uni-O4
  Author's Pytorch implementation of our ICLR 2024 paper "Uni-O4"
  ☆29Updated 4 months ago
• dibyaghosh / icvf_release
  Public code for "Reinforcement Learning from Passive Data via Latent Intentions"
  ☆81Updated 10 months ago
• marc-rigter / polygrad-world-models
  Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024
  ☆53Updated 5 months ago
• weipu-zhang / STORM
  ☆43Updated 3 months ago
• irom-lab / dppo
  Official implementation of Diffusion Policy Policy Optimization, arxiv 2024
  ☆127Updated this week
• nicklashansen / puppeteer
  Code for "Hierarchical World Models as Visual Whole-Body Humanoid Controllers"
  ☆140Updated 2 months ago
• quantumiracle / Consistency_Model_For_Reinforcement_Learning
  Official implementation for: Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning ICLR'24
  ☆20Updated 3 weeks ago
• carlosferrazza / BodyTransformer
  Body Transformer: Leveraging Robot Embodiment for Policy Learning
  ☆87Updated last month
• UT-Austin-RPL / amago
  a simple and scalable agent for training adaptive policies with sequence-based RL
  ☆79Updated this week
• lucidrains / diffusion-policy
  Implementation of Diffusion Policy, Toyota Research's supposed breakthrough in leveraging DDPMs for learning policies for real-world Robo…
  ☆87Updated 2 months ago
• Liang-ZX / AdaptDiffuser
  [ICML'2023] "AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners"
  ☆45Updated 10 months ago
• sail-sg / edp
  [NeurIPS 2023] Efficient Diffusion Policy
  ☆74Updated 10 months ago
• imgeorgiev / PWM
  PWM: Policy Learning with Large World Models
  ☆32Updated last month
• ToruOwO / minimal-stable-PPO
  A minimal and stable PPO.
  ☆96Updated 7 months ago
• jonzamora / awesome-robot-learning-envs
  A list of awesome and popular robot learning environments
  ☆87Updated last month
• facebookresearch / mtm
  MTM Masked Trajectory Models for Prediction, Representation, and Control.
  ☆145Updated last year
• BellmanTimeHut / DIPO
  ☆71Updated last year
• MurpheyLab / MaxDiffRL
  ☆47Updated 6 months ago
• XuGW-Kevin / DrM
  DrM, a visual RL algorithm, minimizes the dormant ratio to guide exploration-exploitation trade-offs, achieving significant improvements …
  ☆52Updated 3 months ago
• Alescontrela / viper_rl
  Using advances in generative modeling to learn reward functions from unlabeled videos.
  ☆106Updated 7 months ago
• mazpie / genrl
  [GenRL] Multimodal foundation world models allow grounding language and video prompts into embodied domains, by turning them into sequenc…
  ☆41Updated last month
• FelipeNuti / diffusion-relative-rewards
  Codebase for Extracting Reward Functions from Diffusion Models
  ☆11Updated 9 months ago
• StoneT2000 / rfcl
  (ICLR 2024) Reverse Forward Curriculum Learning
  ☆36Updated 2 weeks ago
• quasimetric-learning / quasimetric-rl
  Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023
  ☆42Updated 4 months ago
• jayLEE0301 / vq_bet_official
  Official code for "Behavior Generation with Latent Actions" (ICML 2024 Spotlight)
  ☆90Updated 6 months ago
• thu-ml / SRPO
  Codes accompanying the paper "Score Regularized Policy Optimization through Diffusion Behavior" (ICLR 2024).
  ☆36Updated 7 months ago
• ldcq / ldcq
  ☆24Updated last year
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆65Updated 5 months ago
• tinnerhrhe / MTDiff
  ☆48Updated 6 months ago
• chenran-li / RQL-release
  (NeurIPS 2023) Residual Q-Learning: Offline and Online Policy Customization without Value
  ☆27Updated 5 months ago