Alternatives and similar repositories for amago:

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

• dibyaghosh / icvf_release
  Public code for "Reinforcement Learning from Passive Data via Latent Intentions"
  ☆85Updated last year
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆76Updated last month
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆76Updated 9 months ago
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆54Updated 9 months ago
• mxu34 / prompt-dt
  Official code repository for Prompt-DT.
  ☆101Updated 2 years ago
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆98Updated 7 months ago
• quasimetric-learning / quasimetric-rl
  Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023
  ☆45Updated 8 months ago
• jrobine / twm
  Transformer-based World Models
  ☆75Updated last year
• SonyResearch / simba
  ☆69Updated 3 months ago
• ml-jku / L2M
  Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
  ☆52Updated 3 months ago
• seohongpark / METRA
  METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)
  ☆59Updated last year
• FangchenLiu / MaskDP_public
  Code for "Masked Autoencoding for Scalable and Generalizable Decision Making". NeurIPS 2022
  ☆44Updated 10 months ago
• kvfrans / rlbase_stable
  ☆42Updated 6 months ago
• seohongpark / ogbench
  OGBench: Benchmarking Offline Goal-Conditioned RL
  ☆99Updated 2 months ago
• XuGW-Kevin / DrM
  DrM, a visual RL algorithm, minimizes the dormant ratio to guide exploration-exploitation trade-offs, achieving significant improvements …
  ☆69Updated 7 months ago
• mttga / purejaxql
  Simple single-file baselines for Q-Learning in pure-GPU setting
  ☆132Updated last month
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆67Updated last year
• nakamotoo / Cal-QL
  official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
  ☆81Updated 5 months ago
• Div99 / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆82Updated last year
• facebookresearch / mtm
  MTM Masked Trajectory Models for Prediction, Representation, and Control.
  ☆148Updated last year
• jlin816 / homegrid
  A minimal home grid world environment to evaluate language understanding in interactive agents.
  ☆20Updated last year
• conglu1997 / SynthER
  Synthetic Experience Replay
  ☆82Updated 7 months ago
• mazpie / mastering-urlb
  [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …
  ☆34Updated 10 months ago
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆106Updated 2 years ago
• vwxyzjn / cleanba
  CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL
  ☆108Updated 4 months ago
• d5rlbenchmark / d5rl
  ☆24Updated last year
• weipu-zhang / STORM
  ☆69Updated 7 months ago
• mklissa / dceo
  Learning diverse options through the Laplacian representation.
  ☆23Updated last year
• jurgisp / memory-maze
  Evaluating long-term memory of reinforcement learning algorithms
  ☆138Updated last year
• younggyoseo / apv
  ☆69Updated 2 years ago