Alternatives and similar repositories for Kaleidoscope:

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

• LXXXXR / ICES
  [ICML' 24] The PyTorch implementation of our paper: "Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforc…
  ☆15Updated 10 months ago
• sail-sg / edp
  [NeurIPS 2023] Efficient Diffusion Policy
  ☆96Updated last year
• zbzhu99 / madiff
  Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"
  ☆64Updated 2 months ago
• NJU-RL / Meta-DT
  ☆23Updated 5 months ago
• ldcq / ldcq
  ☆30Updated last year
• t6-thu / xTED
  [OWA@NeurIPS'24] xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing
  ☆16Updated 5 months ago
• t6-thu / H2O
  [NeurIPS'22 Spotlight] When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning
  ☆55Updated last year
• tinnerhrhe / MTDiff
  ☆61Updated 4 months ago
• PKU-Alignment / SafeDreamer
  ICLR 2024: SafeDreamer: Safe Reinforcement Learning with World Models
  ☆60Updated 11 months ago
• BellmanTimeHut / DIPO
  ☆91Updated 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
  ☆24Updated 7 months ago
• YangRui2015 / RIQL
  Code for ICLR 2024 paper "Towards Robust Offline Reinforcement Learning under Diverse Data Corruption"
  ☆15Updated 4 months ago
• 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…
  ☆43Updated 7 months ago
• osilab-kaist / smac_exp
  An open source benchmark for Multi Agent Reinforcement Learning
  ☆29Updated last year
• thu-ml / SRPO
  Codes accompanying the paper "Score Regularized Policy Optimization through Diffusion Behavior" (ICLR 2024).
  ☆42Updated last year
• ZhengYinan-AIR / OMIGA
  [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…
  ☆33Updated last year
• Zzl35 / flow-to-better
  ☆20Updated 11 months ago
• LucasCJYSDL / Multi-task-Hierarchical-AIRL
  Codes for the paper "Multi-task Hierarchical Adversarial Inverse Reinforcement Learning"
  ☆16Updated last year
• aielawady / relic
  ☆9Updated 6 months ago
• Liang-ZX / AdaptDiffuser
  [ICML'2023] "AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners"
  ☆57Updated last year
• charleshsc / CommFormer
  ICLR'2024: Learning Multi-Agent Communication from Graph Modeling Perspective
  ☆26Updated last year
• TJU-DRL-LAB / self-supervised-rl
  ☆37Updated 2 years ago
• ryanxhr / POR
  [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"
  ☆58Updated last year
• ZhengYinan-AIR / FISOR
  [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"
  ☆93Updated last month
• PKU-RL / CORRO
  CORRO code
  ☆35Updated 2 years ago
• YaoMarkMu / DOMINO_MB-MetaRL
  ☆20Updated last year
• wadx2019 / qvpo
  official implementation of QVPO
  ☆27Updated 5 months ago
• zmsn-2077 / CUP-safe-rl
  NeurIPS2022: Constrained Update Projection Approach to Safe Policy Optimization
  ☆12Updated last year
• jhejna / inverse-preference-learning
  ☆39Updated last year
• liushunyu / CIA
  [AAAI 2023 Oral] Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
  ☆33Updated 9 months ago