Alternatives and similar repositories for DACBench

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

• automl / arlbench
  HPO and Architecture Benchmarking for RL: Dynamically, Reactive and Efficient
  ☆26Updated last month
• facebookresearch / how-to-autorl
  Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to e…
  ☆85Updated 2 years ago
• rail-berkeley / design-bench
  ☆53Updated 3 years ago
• ml-jku / OfflineRL
  ☆31Updated 2 years ago
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆29Updated 3 years ago
• mklissa / dceo
  Learning diverse options through the Laplacian representation.
  ☆23Updated 2 years ago
• rail-berkeley / design-baselines
  ☆24Updated 3 years ago
• icaros-usc / dqd-rl
  Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"
  ☆21Updated 3 years ago
• brownirl / lambda_discrepancy
  Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy
  ☆22Updated last year
• qgallouedec / lge
  ☆32Updated last year
• FLAIROx / JaxGL
  Simple JAX Graphics Library.
  ☆36Updated last year
• flowersteam / TeachMyAgent
  TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.
  ☆75Updated 2 years ago
• neuroevobench / neuroevobench
  Neuroevolution Benchmark in JAX 🦕
  ☆42Updated 2 years ago
• keraJLi / synthetic-gymnax
  Drop-in environment replacements that make your RL algorithm train faster.
  ☆21Updated last year
• google-deepmind / active_ops
  ☆33Updated last year
• pyrddlgym-project / pyRDDLGym
  A toolkit for auto-generation of OpenAI Gym environments from RDDL description files.
  ☆88Updated 2 months ago
• vwxyzjn / cleanba
  CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL
  ☆120Updated last year
• tedmoskovitz / WNPG
  implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies
  ☆13Updated 4 years ago
• sail-sg / optim4rl
  Optim4RL is a Jax framework of learning to optimize for reinforcement learning.
  ☆27Updated last year
• holarissun / RewardShifting
  Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL
  ☆30Updated 2 years ago
• manantomar / Mirror-Descent-Policy-Optimization
  Mirror Descent Policy Optimization
  ☆41Updated 5 years ago
• instadeepai / fastpbrl
  Vectorization techniques for fast population-based training.
  ☆57Updated 3 years ago
• automl / CARL
  Benchmarking RL generalization in an interpretable way.
  ☆173Updated last month
• nmonette / NCC-UED
  Official Implementation of `An Optimisation Framework for Unsupervised Environment Design` from RLC 2025
  ☆17Updated last month
• Div-Infinity / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆87Updated 2 years ago
• MarcoMeter / endless-memory-gym
  Challenging Memory-based Deep Reinforcement Learning Agents
  ☆107Updated last year
• frt03 / mxt_bench
  A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation (ICLR2023)
  ☆13Updated 2 years ago
• 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
• MarcoMeter / neroRL
  Deep Reinforcement Learning Framework done with PyTorch
  ☆40Updated 9 months ago
• google-deepmind / csuite
  ☆46Updated last year