Alternatives and similar repositories for RL-DBS

Users that are interested in RL-DBS are comparing it to the libraries listed below

• neuroailab / Neural-Alignment
  ☆24Updated 4 years ago
• doerlbh / mentalRL
  Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".
  ☆28Updated 2 years ago
• BerenMillidge / NeuralKalmanFiltering
  Code for the simulations in the neural Kalman filtering paper
  ☆18Updated 3 years ago
• fonsc / predictive-coding
  Research of a deep predictive coding model for unsupervised representation learning from video and audio data.
  ☆30Updated 5 years ago
• goktug97 / nes-torch
  Minimal PyTorch Library for Natural Evolution Strategies
  ☆17Updated 3 years ago
• rfeinman / learning-to-learn
  Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).
  ☆22Updated 6 years ago
• two2tee / WorldModelPlanning
  ☆16Updated 4 years ago
• hushell / deep-symmetry
  ☆21Updated 6 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated 11 months ago
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆28Updated 2 years ago
• martinseilair / learningoptimalcontrol
  Great resources for learning optimal control
  ☆17Updated 5 years ago
• qfettes / CuriosityDrivenExplorationBySelfSupervisedPrediction
  Reproduction of Curiosity-driven Exploration by Self-supervised Prediction in PyTorch
  ☆13Updated 6 years ago
• neuroailab / lr-identify
  A large database of artificial neural network statistics during training
  ☆15Updated 4 years ago
• ElisevanderPol / PRAE
  Plannable Approximations to MDP Homomorphisms: Equivariance under Actions
  ☆30Updated 4 years ago
• kumar-shridhar / ProbAct-Probabilistic-Activation-Function
  Official PyTorch implementation of the paper : ProbAct: A Probabilistic Activation Function for Deep Neural Networks.
  ☆13Updated 6 years ago
• skriegman / 2019-RSS
  Automated shapeshifting for function recovery in damaged robots.
  ☆13Updated 5 years ago
• IGITUGraz / L2L
  Learning to Learn: Gradient-free Optimization framework
  ☆36Updated 3 years ago
• hardmaru / rlzoo
  fork of rl-baseline-zoo
  ☆21Updated 4 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• ramp-kits / rl_simulator
  Model-based reinforcement learning (generative simulator models and planning agents)
  ☆16Updated 3 years ago
• google-deepmind / spatial_memory_pipeline
  ☆32Updated last year
• jannerm / gamma-models
  Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"
  ☆44Updated last year
• aalitaiga / sim-to-real
  From simulation to real world using deep generative models
  ☆17Updated 6 years ago
• mlech26l / ordinary_neural_circuits
  Neuronal Circuit Policies
  ☆40Updated 2 years ago
• mila-iqia / Conscious-Planning
  Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".
  ☆59Updated 9 months ago
• uber-research / Map-Elites-Evolutionary
  Map-Elites based on Evolution Strategies
  ☆31Updated 3 years ago
• yuqingd / sim2real2sim_rad
  ☆55Updated 2 years ago
• edbeeching / 3d_control_deep_rl
  Baselines and memory-based scenarios for the ViZDoom simulator
  ☆35Updated 2 years ago
• distillpub / post--understanding-rl-vision
  Understanding RL vision Distill article
  ☆23Updated 2 years ago
• david-abel / rl_info_theory
  A collection of code investigating the use of information theory for abstractions in RL
  ☆16Updated 6 years ago