cviaai / RL-DBS

Related projects ⓘ

Alternatives and complementary repositories for RL-DBS

• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated 3 months ago
• two2tee / WorldModelPlanning
  ☆16Updated 3 years ago
• doerlbh / mentalRL
  Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".
  ☆27Updated last year
• ElisevanderPol / PRAE
  Plannable Approximations to MDP Homomorphisms: Equivariance under Actions
  ☆27Updated 4 years ago
• mila-iqia / Conscious-Planning
  Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".
  ☆59Updated last month
• snu-mllab / EMI
  Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
  ☆36Updated 3 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 2 years ago
• j-friedrich / neuralOFC
  Neural Optimal Feedback Control
  ☆11Updated 2 years ago
• kachayev / gym-microrts-paper-sb3
  RL agent to play μRTS with Stable-Baselines3 and PyTorch
  ☆25Updated 2 years ago
• thefonseca / predictive-coding
  Research of a deep predictive coding model for unsupervised representation learning from video and audio data.
  ☆29Updated 5 years ago
• facebookresearch / modeling_long_term_future
  Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future
  ☆50Updated 5 years ago
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆26Updated 2 years ago
• Miffyli / policy-supervectors
  Creating fixed-length vectors to describe RL/GA policies
  ☆20Updated 3 years ago
• StanfordVL / ac-teach
  Code for the CoRL 2019 paper AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers
  ☆24Updated last year
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆33Updated 4 years ago
• Feryal / automated-curriculum-rl
  ☆32Updated 5 years ago
• MasterScrat / rl-insights
  🤖 Reinforcement Learning paper summaries, notebooks, and articles.
  ☆26Updated 4 years ago
• Maluuba / srw
  Dead-ends and Secure Exploration in Reinforcement Learning
  ☆11Updated 5 years ago
• mtrazzi / meta_rl
  The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.
  ☆37Updated 5 years ago
• yuqingd / sim2real2sim_rad
  ☆53Updated 2 years ago
• XanderJC / medkit-learn
  The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation (NeurIPS 2021) by Alex J. Chan, Ioana Bica, Alihan Huyuk…
  ☆28Updated 2 years ago
• bmazoure / DRIML
  Code for Deep Reinforcement and InfoMax Learning (Neurips 2020)
  ☆10Updated 3 years ago
• MarcToussaint / optimization-course
  Python bindings to some optimization benchmarks (robotics problems), in order to constrained optimization solvers. Includes also an inter…
  ☆20Updated last year
• uidilr / deepirl_chainer
  Implementation of GAIL and AIRL using chinerrl
  ☆16Updated 2 years ago
• R-McHenry / ParallelizedGoExplore
  A first bare bones paralleled implementation of Go Explore as described by the Uber Engineering blog post
  ☆45Updated 5 years ago
• hardmaru / rlzoo
  fork of rl-baseline-zoo
  ☆21Updated 4 years ago
• zhixuan-lin / cs285-fall-2019
  My solutions to CS285 2019 Fall of UC Berkeley
  ☆14Updated last year
• nathanwispinski / meta-rl
  A short conceptual replication of "Prefrontal cortex as a meta-reinforcement learning system" in Jax.
  ☆14Updated last year
• google-deepmind / zipfian_environments
  ☆28Updated 2 years ago
• adaptive-intelligent-robotics / AURORA
  Repository hosting the code associated with "Unsupervised Behaviour Discovery with Quality-Diversity Optimisation"
  ☆11Updated 3 years ago