automl / learning_environments

Related projects ⓘ

Alternatives and complementary repositories for learning_environments

• ThomasMiconi / Meta-Task-Generator
  Automatically generate simple meta-learning tasks from a very large space
  ☆15Updated last year
• lili-chen / SEER
  Official codebase for Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.
  ☆21Updated 3 years ago
• jcoreyes / evolvingrl
  Supplementary Data for Evolving Reinforcement Learning Algorithms
  ☆46Updated 3 years ago
• Farama-Foundation / CrowdPlay
  A web based platform for collecting human actions in reinforcement learning environments
  ☆26Updated last year
• btnorman / First-Explore
  Repo to reproduce the First-Explore paper results
  ☆36Updated last week
• apourchot / ERL-pytorch
  Combining Evolutionary Algorithms and deep Reinforcement Learning
  ☆14Updated 6 years ago
• automl / SEARL
  Sample-Efficient Automated Deep Reinforcement Learning
  ☆34Updated 3 years ago
• 0xangelo / raylab
  Reinforcement learning algorithms in RLlib
  ☆56Updated 6 months ago
• MehdiZouitine / gym_ma_toy
  Toy environment set for multi-agent reinforcement learning and more
  ☆38Updated 2 years ago
• yfletberliac / adversarially-guided-actor-critic
  AGAC: Adversarially Guided Actor-Critic
  ☆47Updated 3 years ago
• laurimi / multiagent-prediction-reward
  Multi-agent active perception with prediction rewards
  ☆11Updated 3 years ago
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆26Updated 2 years ago
• automl / DACBench
  A benchmark library for Dynamic Algorithm Configuration.
  ☆28Updated last month
• sai-prasanna / dreaming_of_many_worlds
  ☆14Updated last month
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 2 years ago
• jinPrelude / simple-es
  Simple implementations of multi-agent evolutionary strategies using pytorch.
  ☆15Updated 2 years ago
• vwxyzjn / a2c_is_a_special_case_of_ppo
  A2C is a special case of PPO!
  ☆19Updated 2 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated 3 months ago
• epignatelli / discovering-reinforcement-learning-algorithms
  A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…
  ☆20Updated 3 years ago
• keraJLi / synthetic-gymnax
  ☆17Updated 4 months ago
• bath-reinforcement-learning-lab / SVERL_icml_2023
  Code for Shapley values for explaining reinforcement learning. XRL feature-influence method.
  ☆15Updated 10 months ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆31Updated 4 years 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
• instadeepai / fastpbrl
  Vectorization techniques for fast population-based training.
  ☆54Updated 2 years ago
• automl / TempoRL
  ☆16Updated 2 years ago
• google-deepmind / active_ops
  ☆30Updated 3 months ago
• google / brain_autorl
  ☆48Updated last year
• icaros-usc / dqd-rl
  Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"
  ☆18Updated 2 years ago
• louiskirsch / metagenrl
  MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…
  ☆66Updated 4 years ago
• google-research / reincarnating_rl
  [NeurIPS 2022] Open source code for reusing prior computational work in RL.
  ☆91Updated last year