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
  ☆22Updated 2 months ago
• ml-jku / OfflineRL
  ☆31Updated 2 years ago
• keraJLi / synthetic-gymnax
  Drop-in environment replacements that make your RL algorithm train faster.
  ☆20Updated 11 months ago
• automl / HPO_for_RL
  This is the code of reproducing the results of our paper: On the importance of Hyperparameter Optimization for Model-based Reinforcement …
  ☆15Updated 3 years ago
• rail-berkeley / design-bench
  ☆49Updated 3 years ago
• neuroevobench / neuroevobench
  Neuroevolution Benchmark in JAX 🦕
  ☆39Updated last year
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆28Updated 2 years ago
• google-deepmind / active_ops
  ☆32Updated 10 months ago
• icaros-usc / dqd-rl
  Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"
  ☆20Updated 2 years ago
• rail-berkeley / design-baselines
  ☆23Updated 3 years ago
• lamda-bbo / madac
  Official implementation of NeurIPS22 paper “Multi-agent Dynamic Algorithm Configuration”
  ☆25Updated 2 years ago
• tedmoskovitz / WNPG
  implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies
  ☆11Updated 4 years ago
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆18Updated last year
• kschweig / OfflineRL
  Experiment for Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning
  ☆25Updated 2 years ago
• 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…
  ☆80Updated last year
• qgallouedec / lge
  ☆31Updated last year
• sai-prasanna / dreaming_of_many_worlds
  ☆22Updated 8 months ago
• MarcoMeter / neroRL
  Deep Reinforcement Learning Framework done with PyTorch
  ☆36Updated 2 months ago
• young-geng / JaxCQL
  Conservative Q learning in Jax
  ☆54Updated 2 years ago
• mklissa / dceo
  Learning diverse options through the Laplacian representation.
  ☆23Updated last year
• luchris429 / discovered-policy-optimisation
  Code for Discovered Policy Optimisation (NeurIPS 2022)
  ☆10Updated last year
• automl / DEHB
  ☆79Updated last month
• sdpkjc / abcdrl
  Modular Single-file Reinfocement Learning Algorithms Library
  ☆37Updated 2 years ago
• automl / DAC
  Dynamic Algorithm Configuration
  ☆19Updated 5 years ago
• zdhNarsil / Stochastic-Marginal-Actor-Critic
  Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".
  ☆24Updated 2 years ago
• proceduralia / high_replay_ratio_continuous_control
  Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"
  ☆24Updated 2 years ago
• brownirl / lambda_discrepancy
  Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy
  ☆17Updated 7 months ago
• 0xprofessooor / Pearl
  Adaptable tools to make reinforcement learning and evolutionary computation algorithms.
  ☆56Updated 3 years ago
• omron-sinicx / action-constrained-RL-benchmark
  ☆24Updated last year
• Evolutionary-Intelligence / dpop7
  A ray-based library of Distributed POPulation-based OPtimization for Large-Scale Black-Box Optimization.
  ☆19Updated last year