Alternatives and similar repositories for Diffusion_Trusted_Q_Learning

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

• wadx2019 / qvpo
  official implementation of QVPO
  ☆60Updated last week
• sail-sg / edp
  [NeurIPS 2023] Efficient Diffusion Policy
  ☆114Updated 2 years ago
• escontra / score_matching_rl
  Code for the paper "Learning a Diffusion Model Policy from Rewards via Q-Score Matching"
  ☆32Updated 9 months ago
• devinluo27 / comp_diffuser_release
  [NeurIPS 2025 Spotlight] Generative Trajectory Stitching through Diffusion Composition
  ☆67Updated 4 months ago
• cccedric / cpql
  This is the official PyTorch implementation of the paper "Boosting Continuous Control with Consistency Policy".
  ☆46Updated 2 months ago
• thu-ml / SRPO
  Codes accompanying the paper "Score Regularized Policy Optimization through Diffusion Behavior" (ICLR 2024).
  ☆49Updated last year
• ZibinDong / AlignDiff-ICLR2024
  ☆32Updated last year
• diffuserlite / diffuserlite.github.io
  ☆49Updated last year
• NVlabs / DRAIL
  [NeurIPS'24] The Official PyTorch implementation of DRAIL
  ☆53Updated last year
• marc-rigter / polygrad-world-models
  Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024
  ☆73Updated last year
• tinnerhrhe / MTDiff
  ☆63Updated last year
• changchencc / Simple-Hierarchical-Planning-with-Diffusion
  ☆35Updated last year
• imgeorgiev / PWM
  PWM: Policy Learning with Large World Models
  ☆65Updated 5 months ago
• TEA-Lab / diffusion_reward
  [ECCV 2024] 💐Official implementation of the paper "Diffusion Reward: Learning Rewards via Conditional Video Diffusion"
  ☆115Updated last year
• BellmanTimeHut / DIPO
  ☆120Updated 2 years ago
• FelipeNuti / diffusion-relative-rewards
  Codebase for Extracting Reward Functions from Diffusion Models
  ☆16Updated 2 years ago
• zoharri / mamba
  Meta-RL Model-Based Algorithm
  ☆43Updated 9 months ago
• EmptyJackson / policy-guided-diffusion
  Official implementation of the RLC 2024 paper "Policy-Guided Diffusion"
  ☆151Updated last year
• amberxie88 / latent_diffusion_planning
  Implementation of Latent Diffusion Planning (Amber Xie, Oleh Rybkin, Dorsa Sadigh, Chelsea Finn)
  ☆61Updated 7 months ago
• Fang-Lin93 / DAC
  DAC: Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning.
  ☆26Updated last year
• elicassion / sugarl
  Code for NeurIPS 2023 paper "Active Vision Reinforcement Learning with Limited Visual Observability"
  ☆54Updated last year
• quantumiracle / Consistency_Model_For_Reinforcement_Learning
  Official implementation for: Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning ICLR'24
  ☆26Updated last year
• jrobine / twm
  Transformer-based World Models
  ☆87Updated 2 years ago
• Liang-ZX / AdaptDiffuser
  [ICML'2023 Oral] "AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners"
  ☆80Updated 2 years ago
• thuml / HarmonyDream
  Code release for "HarmonyDream: Task Harmonization Inside World Models" (ICML 2024), https://arxiv.org/abs/2310.00344
  ☆49Updated last year
• LucasCJYSDL / DGMs-for-Offline-Policy-Learning
  This repository provides a survey on the applications of deep generative models for offline reinforcement learning and imitation learning…
  ☆54Updated 8 months ago
• haosulab / RPG
  Code base for paper: Reparameterized Policy Learning for Multimodal Trajectory Optimization
  ☆27Updated 2 years ago
• sukhijab / maxinforl_torch
  ☆50Updated 4 months ago
• conglu1997 / SynthER
  Synthetic Experience Replay
  ☆107Updated last year
• kvfrans / cfgrl
  ☆80Updated 8 months ago