Alternatives and similar repositories for katakomba

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

• Howuhh / sac-n-jax
  Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch
  ☆56Updated 2 years ago
• tinkoff-ai / ReBRAC
  Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC
  ☆61Updated 2 years ago
• MarcoMeter / endless-memory-gym
  Challenging Memory-based Deep Reinforcement Learning Agents
  ☆109Updated last year
• corl-team / katakomba
  Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)
  ☆43Updated 2 years ago
• brownirl / lambda_discrepancy
  Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy
  ☆22Updated last year
• tinkoff-ai / sac-rnd
  Official implementation for "Anti-Exploration by Random Network Distillation", ICML 2023
  ☆55Updated 2 years ago
• tinkoff-ai / lb-sac
  Official implementation for "Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size", NeurIPS 2022, Offline RL Worksho…
  ☆21Updated 2 years ago
• vwxyzjn / cleanba
  CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL
  ☆121Updated last year
• tinkoff-ai / eop
  Code for the paper "Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters", ICML 2022
  ☆28Updated 3 years ago
• automl / CARL
  Benchmarking RL generalization in an interpretable way.
  ☆174Updated 2 months ago
• zzmtsvv / ORL
  ☆58Updated 11 months ago
• corl-team / ad-eps
  Official Implementation for "In-Context Reinforcement Learning from Noise Distillation"
  ☆34Updated last year
• ml-jku / OfflineRL
  ☆31Updated 3 years ago
• takuseno / d4rl-atari
  Datasets for data-driven deep reinforcement learning with Atari (wrapper for datasets released by Google)
  ☆127Updated last year
• evgenii-nikishin / rl_with_resets
  JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
  ☆103Updated 3 years ago
• young-geng / JaxCQL
  Conservative Q learning in Jax
  ☆57Updated 2 years ago
• Div-Infinity / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆87Updated 2 years ago
• conglu1997 / SynthER
  Synthetic Experience Replay
  ☆107Updated last year
• proroklab / popgym
  Partially Observable Process Gym
  ☆211Updated 7 months ago
• ucl-dark / skillhack
  SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning
  ☆17Updated 3 years ago
• enjeeneer / zero-shot-rl
  VC-FB and MC-FB algorithms from "Zero-Shot Reinforcement Learning from Low Quality Data" (NeurIPS 2024)
  ☆22Updated last year
• DramaCow / jaxued
  ☆91Updated 4 months ago
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆124Updated 3 years ago
• facebookresearch / dcd
  Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.
  ☆138Updated last year
• ahmed-touati / controllable_agent
  ☆54Updated 2 years ago
• nmonette / NCC-UED
  Official Implementation of `An Optimisation Framework for Unsupervised Environment Design` from RLC 2025
  ☆17Updated last month
• dunnolab / xland-minigrid-datasets
  XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning - - — ICLR 2025
  ☆81Updated 11 months ago
• frt03 / generalized_dt
  Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)
  ☆70Updated 3 years ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆82Updated 2 years ago
• google-research / reincarnating_rl
  [NeurIPS 2022] Open source code for reusing prior computational work in RL.
  ☆99Updated 2 years ago