Alternatives and similar repositories for LMCTS

Users that are interested in LMCTS are comparing it to the libraries listed below

• dtak / mbrl-smdp-ode
  PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020
  ☆42Updated 4 years ago
• aa14k / Exploration-in-RL
  ☆28Updated last year
• causal-rl-anonymous / causal-rl
  ☆43Updated 3 years ago
• dido1998 / CausalMBRL
  Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
  ☆48Updated 3 years ago
• csiro-mlai / RL-BOED
  ☆12Updated 2 years ago
• thanhnguyentang / offline_neural_bandits
  An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…
  ☆14Updated 3 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆86Updated 3 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 years ago
• xiangyuan-zhang / controlgym
  Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms
  ☆43Updated last year
• yudasong / briee
  Representation Learning in RL
  ☆16Updated 3 years ago
• lmzintgraf / hyperx
  ☆16Updated 2 years ago
• cagatayyildiz / oderl
  Experiment code for "Continuous-Time Model-Based Reinforcement Learning"
  ☆53Updated last year
• CausalRL / DRL
  Deconfounding Reinforcement Learning in Observational Settings
  ☆51Updated 6 years ago
• radar-research-lab / MFGLib
  A library for mean-field games.
  ☆53Updated this week
• manantomar / Mirror-Descent-Policy-Optimization
  Mirror Descent Policy Optimization
  ☆38Updated 4 years ago
• ha0ransun / Path-Auxiliary-Sampler
  ☆11Updated 2 years ago
• sebascuri / hucrl
  ☆30Updated last year
• manish-pra / copg
  This repository contains all code and experiments for competitive policy gradient (CoPG) algorithm.
  ☆24Updated 4 years ago
• guaguakai / decision-focused-RL
  ☆11Updated 3 years ago
• sail-sg / optim4rl
  Optim4RL is a Jax framework of learning to optimize for reinforcement learning.
  ☆25Updated 6 months ago
• secondmind-labs / bayesian_benchmarks
  A community repository for benchmarking Bayesian methods
  ☆11Updated 2 years ago
• jonasrothfuss / model_ensemble_meta_learning
  Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm
  ☆44Updated 6 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
  ☆25Updated 3 years ago
• aletcher / stable-opponent-shaping
  Pytorch implementation of Stable Opponent Shaping (https://openreview.net/pdf?id=SyGjjsC5tQ).
  ☆21Updated 5 years ago
• hsvgbkhgbv / Thermostat-assisted-continuously-tempered-Hamiltonian-Monte-Carlo-for-Bayesian-learning
  Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning
  ☆10Updated 6 years ago
• LaurenceA / bayesfunc
  ☆15Updated 2 years ago
• xkianteb / ApproPO
  Reinforcement Learning with Convex Constraints
  ☆14Updated 3 years ago
• albertometelli / wql
  ☆9Updated 5 years ago
• rail-berkeley / design-bench
  ☆49Updated 3 years ago
• desi-ivanova / idad
  Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods
  ☆19Updated 3 years ago