Alternatives and similar repositories for amago

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

• SonyResearch / simba
  ☆110Updated 8 months ago
• dibyaghosh / icvf_release
  Public code for "Reinforcement Learning from Passive Data via Latent Intentions"
  ☆89Updated last year
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆111Updated last year
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆101Updated last month
• jrobine / twm
  Transformer-based World Models
  ☆86Updated 2 years ago
• seohongpark / METRA
  METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)
  ☆78Updated 2 years ago
• facebookresearch / MRQ
  MR.Q is a general-purpose model-free reinforcement learning algorithm.
  ☆118Updated 4 months ago
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆91Updated 11 months ago
• nakamotoo / Cal-QL
  official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)
  ☆112Updated last year
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆90Updated 2 years ago
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆57Updated last year
• ml-jku / L2M
  Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
  ☆60Updated last year
• seohongpark / horizon-reduction
  The official implementation of "Horizon Reduction Makes RL Scalable"
  ☆156Updated 3 months ago
• mxu34 / prompt-dt
  Official code repository for Prompt-DT.
  ☆117Updated 3 years ago
• seohongpark / ogbench
  A benchmark for offline goal-conditioned RL and offline RL
  ☆279Updated 3 weeks ago
• danijar / director
  Deep Hierarchical Planning from Pixels
  ☆109Updated 2 years ago
• Div-Infinity / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆87Updated 2 years ago
• philippe-eecs / IDQL
  Repo for Implicit Diffusion Q-Learning
  ☆116Updated last year
• DAVIAN-Robotics / SimbaV2
  Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"
  ☆76Updated last week
• rainx0r / metaworld-algorithms
  Implementations of Multi-Task and Meta-Learning baselines for the Metaworld benchmark
  ☆26Updated 2 months ago
• MichalBortkiewicz / JaxGCRL
  Online Goal-Conditioned Reinforcement Learning in JAX. ICLR 2025 Spotlight.
  ☆192Updated last month
• mttga / purejaxql
  Simple single-file baselines for Q-Learning in pure-GPU setting
  ☆212Updated this week
• chandar-lab / Recall2Imagine
  Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
  ☆76Updated last year
• FangchenLiu / MaskDP_public
  Code for "Masked Autoencoding for Scalable and Generalizable Decision Making". NeurIPS 2022
  ☆46Updated last year
• schmidtdominik / LAPO
  Code for the ICLR 2024 spotlight paper: "Learning to Act without Actions" (introducing Latent Action Policies)
  ☆128Updated last year
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆117Updated 3 years ago
• conglu1997 / SynthER
  Synthetic Experience Replay
  ☆106Updated last year
• XuGW-Kevin / DrM
  DrM, a visual RL algorithm, minimizes the dormant ratio to guide exploration-exploitation trade-offs, achieving significant improvements …
  ☆76Updated last year
• quasimetric-learning / quasimetric-rl
  Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023
  ☆49Updated 5 months ago
• escontra / viper_rl
  Using advances in generative modeling to learn reward functions from unlabeled videos.
  ☆135Updated last year