Alternatives and similar repositories for taskmet:

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

• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 2 years ago
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆28Updated 2 years ago
• guaguakai / surrogate-optimization-learning
  ☆17Updated 4 years ago
• facebookresearch / neural-scs
  Neural Fixed-Point Acceleration for Convex Optimization
  ☆29Updated 2 years ago
• tianjunz / MADE
  ☆19Updated 3 years ago
• yangkevin2 / neurips2021-lap3
  ☆17Updated 3 years ago
• ThomasMiconi / Meta-Task-Generator
  Automatically generate simple meta-learning tasks from a very large space
  ☆15Updated last year
• yudasong / briee
  Representation Learning in RL
  ☆16Updated 2 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated 9 months ago
• facebookresearch / ssorl
  Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories
  ☆42Updated last year
• btnorman / First-Explore
  Repo to reproduce the First-Explore paper results
  ☆37Updated 4 months ago
• facebookresearch / SurCo
  Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
  ☆18Updated last year
• remilepriol / causal-adaptation-speed
  Investigate the speed of adaptation of structural causal models
  ☆16Updated 4 years ago
• locuslab / ase
  Analogous Safe-state Exploration (ASE) is an algorithm for provably safe and optimal exploration in MDPs with unknown, stochastic dynamic…
  ☆11Updated 4 years ago
• yiqiwang8177 / Official-codebase-for-Decision-Transducer
  This is the pytorch implementation of the UAI2023 paper "A Trajectory is Worth Three Sentences: Multimodal Transformer for Offline Reinf…
  ☆11Updated last year
• quasimetric-learning / torch-quasimetric
  PyTorch Package For Quasimetric Learning
  ☆42Updated 6 months ago
• neuroevobench / neuroevobench
  Neuroevolution Benchmark in JAX 🦕
  ☆38Updated last year
• MasterScrat / rl-insights
  🤖 Reinforcement Learning paper summaries, notebooks, and articles.
  ☆26Updated 5 years ago
• martius-lab / blackbox-differentiation-combinatorial-solvers
  ☆22Updated 3 years ago
• sail-sg / optim4rl
  Optim4RL is a Jax framework of learning to optimize for reinforcement learning.
  ☆24Updated 5 months ago
• luchris429 / discovered-policy-optimisation
  Code for Discovered Policy Optimisation (NeurIPS 2022)
  ☆10Updated last year
• cassidylaidlaw / orpo
  ☆15Updated 5 months ago
• zhougroup / IDAC
  Implicit Distributional Actor Critic
  ☆11Updated 3 years ago
• laurimi / multiagent-prediction-reward
  Multi-agent active perception with prediction rewards
  ☆12Updated 4 years ago
• RewardReports / reward-reports
  Documentation for dynamic machine learning systems.
  ☆29Updated 7 months ago
• sai-prasanna / dreaming_of_many_worlds
  ☆20Updated 7 months ago
• PAL-ML / PEARL_v1
  ☆29Updated 3 years ago
• YRussac / WeightedLinearBandits
  Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"
  ☆17Updated 5 years ago
• NVlabs / gbrl_sb3
  GBRL-based Actor-Critic algorithms implemented in stable-baselines3
  ☆34Updated last month
• EmptyJackson / groove
  Official implementation of the NeurIPS 2023 paper "Discovering General Reinforcement Learning Algorithms with Adversarial Environment Des…
  ☆26Updated 10 months ago