Alternatives and similar repositories for Distributional-GFlowNets

Users that are interested in Distributional-GFlowNets are comparing it to the libraries listed below

• augustwester / gflownet
  A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)
  ☆44Updated 2 years ago
• zdhNarsil / Stochastic-Marginal-Actor-Critic
  Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".
  ☆24Updated 2 years ago
• rail-berkeley / design-bench
  ☆53Updated 3 years ago
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆87Updated 2 years ago
• robintyh1 / onpolicybaselines
  on-policy optimization baselines for deep reinforcement learning
  ☆32Updated 5 years ago
• saleml / continuous-gfn
  ☆28Updated 2 years ago
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆78Updated 3 years ago
• d-tiapkin / gflownet-rl
  Repository for "Generative Flow Networks as Entropy-Regularized RL" (AISTATS-2024, Oral)
  ☆40Updated last year
• brandontrabucco / design-baselines
  Baselines for Model-Based Optimization
  ☆55Updated 4 years ago
• qsh-zh / pis
  [ICLR 2022] Path integral sampler
  ☆52Updated 2 years ago
• ling-pan / GAFN
  ☆25Updated last year
• ElisevanderPol / symmetrizer
  ☆32Updated 4 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• joeybose / FloRL
  Implicit Normalizing Flows + Reinforcement Learning
  ☆62Updated 6 years ago
• twitter-research / hyperbolic-rl
  ☆58Updated 3 years ago
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆94Updated 3 years ago
• ling-pan / Stochastic-GFN
  ☆14Updated 2 years ago
• tristandeleu / gfn-maxent-rl
  Comparison between GFlowNets & Maximum Entropy RL
  ☆19Updated last year
• facebookresearch / SOC-matching
  Code release for "Stochastic Optimal Control Matching"
  ☆39Updated last year
• ha0ransun / Path-Auxiliary-Sampler
  ☆11Updated 2 years ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆44Updated 4 years ago
• EmptyJackson / groove
  Official implementation of the NeurIPS 2023 paper "Discovering General Reinforcement Learning Algorithms with Adversarial Environment Des…
  ☆35Updated last year
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆29Updated 3 years ago
• yudasong / briee
  Representation Learning in RL
  ☆13Updated 3 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 6 months ago
• dido1998 / CausalMBRL
  Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
  ☆52Updated 4 years ago
• mila-iqia / Conscious-Planning
  Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".
  ☆60Updated last year
• thjashin / rodeo
  Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)
  ☆17Updated 2 years ago
• danijar / crafter-baselines
  Docker containers of baseline agents for the Crafter environment
  ☆30Updated 4 years ago
• lfbo-ml / lfbo
  Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022
  ☆46Updated 3 years ago