Alternatives and similar repositories for pytorch-pne

Users that are interested in pytorch-pne are comparing it to the libraries listed below

• XanderJC / scalable-birl
  Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.
  ☆46Updated 4 years ago
• brandontrabucco / design-baselines
  Baselines for Model-Based Optimization
  ☆54Updated 3 years ago
• rail-berkeley / design-bench
  ☆52Updated 3 years ago
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆18Updated 2 years ago
• dido1998 / CausalMBRL
  Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
  ☆50Updated 4 years ago
• jannerm / gamma-models
  Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"
  ☆45Updated 2 years ago
• dtak / mbrl-smdp-ode
  PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020
  ☆45Updated 5 years ago
• robintyh1 / onpolicybaselines
  on-policy optimization baselines for deep reinforcement learning
  ☆32Updated 5 years ago
• joeybose / FloRL
  Implicit Normalizing Flows + Reinforcement Learning
  ☆61Updated 6 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
• Rondorf / BOReL
  Official implementation for the paper "Offline Meta RL - Identifiability Challenges and Effective Data Collection Strategies", NeurIPS 20…
  ☆31Updated 3 years ago
• yilundu / task_agnostic_dynamics_prior
  Code Release for Task Agnostic Dynamics Priors for Deep Reinforcement Learning
  ☆12Updated 6 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 3 months ago
• taodav / nsrs
  Code for the paper Novelty Search in Representational Space for Sample Efficient Exploration presented at NeurIPS 2020.
  ☆14Updated last year
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• holarissun / RewardShifting
  Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL
  ☆29Updated 2 years ago
• mila-iqia / Conscious-Planning
  Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".
  ☆59Updated last year
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆34Updated 2 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆92Updated 4 years ago
• activatedgeek / svgd
  PyTorch implementation of Stein Variational Gradient Descent
  ☆45Updated 2 years ago
• causal-rl-anonymous / causal-rl
  ☆48Updated 3 years ago
• philipjball / SAC_PyTorch
  🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation
  ☆38Updated 3 years ago
• google-research / deep_ope
  ☆88Updated last year
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated last year
• jonasrothfuss / meta_learning_pacoh
  Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds
  ☆26Updated last year
• zdhNarsil / Distributional-GFlowNets
  Code for our TMLR paper "Distributional GFlowNets with Quantile Flows".
  ☆13Updated last year
• facebookresearch / dcem
  The Differentiable Cross-Entropy Method
  ☆124Updated 5 years ago
• wyndwarrior / Sectar
  Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
  ☆96Updated 7 years ago
• snu-mllab / EMI
  Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
  ☆36Updated 4 years ago