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
• Farama-Foundation / CrowdPlay
  A web based platform for collecting human actions in reinforcement learning environments
  ☆27Updated last year
• sai-prasanna / dreaming_of_many_worlds
  ☆14Updated last month
• intel / cerl
  ☆72Updated last year
• soumik12345 / DDPG
  Pytorch implementation of the Deep Deterministic Policy Gradients for Continuous Control
  ☆26Updated last year
• automl / SEARL
  Sample-Efficient Automated Deep Reinforcement Learning
  ☆34Updated 3 years ago
• laurimi / multiagent-prediction-reward
  Multi-agent active perception with prediction rewards
  ☆11Updated 4 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 2 years ago
• microsoft / strategically_efficient_rl
  More efficient exploration for reinforcement learning in two-player, zero-sum game
  ☆17Updated 3 months ago
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆26Updated 2 years ago
• btnorman / First-Explore
  Repo to reproduce the First-Explore paper results
  ☆36Updated 2 weeks ago
• Vision-CAIR / AF-Guide
  Official repository of Action-Free Guide
  ☆11Updated last year
• icaros-usc / dqd-rl
  Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"
  ☆18Updated 2 years ago
• mila-iqia / Skipper
  A PyTorch Implementation of Skipper
  ☆20Updated last month
• facebookresearch / alma
  Anytime Learning At Macroscale
  ☆9Updated 2 years ago
• google-deepmind / active_ops
  ☆30Updated 3 months ago
• jcoreyes / evolvingrl
  Supplementary Data for Evolving Reinforcement Learning Algorithms
  ☆46Updated 3 years ago
• MarcoMeter / neroRL
  Deep Reinforcement Learning Framework done with PyTorch
  ☆30Updated this week
• keraJLi / synthetic-gymnax
  ☆17Updated 5 months ago
• jinPrelude / simple-es
  Simple implementations of multi-agent evolutionary strategies using pytorch.
  ☆15Updated 2 years ago
• google-research / pisac
  Tensorflow 2 source code for the PI-SAC agent from "Predictive Information Accelerates Learning in RL" (NeurIPS 2020)
  ☆43Updated last year
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 4 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated 3 months ago
• denisyarats / proto
  Proto-RL: Reinforcement Learning with Prototypical Representations
  ☆82Updated 2 years ago
• apourchot / ERL-pytorch
  Combining Evolutionary Algorithms and deep Reinforcement Learning
  ☆14Updated 6 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆36Updated 3 weeks ago
• YushuoLi / Gato-A-Generalist-Agent
  Minimal code for A Generalist Agent
  ☆35Updated 2 years ago
• instadeepai / fastpbrl
  Vectorization techniques for fast population-based training.
  ☆54Updated 2 years ago
• 0xangelo / raylab
  Reinforcement learning algorithms in RLlib
  ☆56Updated 6 months ago