Alternatives and similar repositories for contrastive_planning:

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

• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆54Updated 10 months ago
• facebookresearch / gen_dgrl
  Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024
  ☆28Updated 6 months ago
• seohongpark / METRA
  METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)
  ☆62Updated last year
• quasimetric-learning / quasimetric-rl
  Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023
  ☆46Updated 9 months ago
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆76Updated 10 months ago
• chandar-lab / Recall2Imagine
  Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
  ☆62Updated 8 months ago
• dibyaghosh / icvf_release
  Public code for "Reinforcement Learning from Passive Data via Latent Intentions"
  ☆87Updated last year
• mklissa / dceo
  Learning diverse options through the Laplacian representation.
  ☆23Updated last year
• seohongpark / PMA
  Predictable MDP Abstraction for Unsupervised Model-Based RL (ICML 2023)
  ☆32Updated 2 years ago
• chongyi-zheng / td_infonce
  ☆26Updated last year
• imgeorgiev / PWM
  PWM: Policy Learning with Large World Models
  ☆41Updated 6 months ago
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆76Updated 2 months ago
• enjeeneer / zero-shot-rl
  VC-FB and MC-FB algorithms from "Zero-Shot Reinforcement Learning from Low Quality Data" (NeurIPS 2024)
  ☆13Updated last month
• seohongpark / CSD-locomotion
  Controllability-Aware Unsupervised Skill Discovery (ICML 2023)
  ☆23Updated last year
• quasimetric-learning / torch-quasimetric
  PyTorch Package For Quasimetric Learning
  ☆41Updated 3 months ago
• google-deepmind / dmc_vision_benchmark
  ☆23Updated 8 months ago
• ml-jku / L2M
  Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
  ☆54Updated 4 months ago
• SonyResearch / simba
  ☆70Updated 4 months ago
• keraJLi / synthetic-gymnax
  ☆20Updated 8 months ago
• zoharri / mamba
  Meta-RL Model-Based Algorithm
  ☆29Updated 8 months ago
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆36Updated 2 years ago
• ahmed-touati / controllable_agent
  ☆42Updated last year
• jacooba / hyper
  Code for the papers Hypernetworks in Meta-Reinforcement Learning (Beck et al., 2022) and Recurrent Hypernetworks are Surprisingly Strong …
  ☆12Updated 6 months ago
• Div99 / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆84Updated 2 years ago
• quantumiracle / Consistency_Model_For_Reinforcement_Learning
  Official implementation for: Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning ICLR'24
  ☆24Updated 5 months ago
• UT-Austin-RPL / amago
  a simple and scalable agent for training adaptive policies with sequence-based RL
  ☆111Updated this week
• luchris429 / popjaxrl
  Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]
  ☆95Updated last year
• jianlanluo / SAQ
  ☆28Updated last year