Alternatives and similar repositories for Thermostat-assisted-continuously-tempered-Hamiltonian-Monte-Carlo-for-Bayesian-learning

Users that are interested in Thermostat-assisted-continuously-tempered-Hamiltonian-Monte-Carlo-for-Bayesian-learning are comparing it to the libraries listed below

• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 5 years ago
• tedmoskovitz / WNPG
  implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies
  ☆13Updated 4 years ago
• rail-berkeley / design-bench
  ☆52Updated 3 years ago
• robintyh1 / onpolicybaselines
  on-policy optimization baselines for deep reinforcement learning
  ☆32Updated 5 years ago
• jonasrothfuss / model_ensemble_meta_learning
  Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm
  ☆44Updated 6 years ago
• google-research / deep_ope
  ☆89Updated last year
• manantomar / Mirror-Descent-Policy-Optimization
  Mirror Descent Policy Optimization
  ☆41Updated 5 years ago
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆32Updated 4 years ago
• RomainLaroche / SPIBB
  Safe Policy Improvement with Baseline Bootstrapping
  ☆26Updated 5 years ago
• lanyavik / BAIL
  ☆18Updated 3 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• google-research / dice_rl
  ☆106Updated last year
• 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
• rlai-lab / Regularized-GradientTD
  Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.
  ☆37Updated 5 years ago
• stratisMarkou / sample-efficient-bayesian-rl
  Source for the sample efficient tabular RL submission to the 2019 NIPS workshop on Biological and Artificial RL
  ☆24Updated 3 years ago
• clvoloshin / COBS
  OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.
  ☆62Updated 3 years ago
• YuejiangLIU / prioritized_option_critic
  Implementation of the Prioritized Option-Critic on the Four-Rooms Environment
  ☆17Updated 7 years ago
• facebookresearch / icp-block-mdp
  Invariant Causal Prediction for Block MDPs
  ☆44Updated 5 years ago
• xkianteb / ApproPO
  Reinforcement Learning with Convex Constraints
  ☆14Updated 3 years ago
• clvoloshin / constrained_batch_policy_learning
  ☆27Updated 6 years ago
• jparkerholder / DvD_ES
  Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…
  ☆44Updated 5 years ago
• llan-ml / tesp
  Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
  ☆34Updated 6 years ago
• tgangwani / SelfImitationDiverse
  Tensorflow code for "Learning Self-Imitating Diverse Policies" (ICLR 2019)
  ☆20Updated 4 years ago
• DavidJanz / successor_uncertainties_atari
  Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…
  ☆21Updated 2 years ago
• davidbrandfonbrener / onestep-rl
  ☆43Updated 4 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 years ago
• npvoid / OnlineDoubleOracle
  ☆11Updated 4 years ago
• CausalRL / DRL
  Deconfounding Reinforcement Learning in Observational Settings
  ☆51Updated 6 years ago
• robintyh1 / icml2021-pengqlambda
  Revisiting Peng's Q(lambda) for Modern Reinforcement Learning
  ☆15Updated 4 years ago
• mcmachado / count_based_exploration_sr
  ☆31Updated 6 years ago