Alternatives and similar repositories for MCTSnet

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

• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆39Updated 8 months ago
• joeybose / FloRL
  Implicit Normalizing Flows + Reinforcement Learning
  ☆61Updated 6 years ago
• philipjball / SAC_PyTorch
  🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation
  ☆38Updated 3 years ago
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆31Updated 3 years ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆55Updated last year
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• philipjball / OffCon3
  📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)
  ☆24Updated 4 years ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 4 years ago
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆33Updated 2 years ago
• RockySJ / ampo
  ☆15Updated 4 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆39Updated 2 years ago
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆75Updated 4 years ago
• tedmoskovitz / TOP
  Implementation of Tactical Optimistic and Pessimistic value estimation
  ☆25Updated last year
• orybkin / video-gcp
  Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"
  ☆44Updated 2 years ago
• robintyh1 / onpolicybaselines
  on-policy optimization baselines for deep reinforcement learning
  ☆30Updated 5 years ago
• danijar / crafter-baselines
  Docker containers of baseline agents for the Crafter environment
  ☆28Updated 3 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
• instadeepai / fastpbrl
  Vectorization techniques for fast population-based training.
  ☆56Updated 2 years ago
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆28Updated 2 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 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
• oist-cnru / Variational-Recurrent-Models
  Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…
  ☆55Updated 4 years ago
• nnaisense / MAX
  Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
  ☆78Updated 5 years ago
• llan-ml / tesp
  Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
  ☆34Updated 6 years ago
• young-geng / SimpleSAC
  A simple and easy to use implementation of the soft actor-critic algorithm.
  ☆15Updated 2 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 5 years ago
• toshikwa / rljax
  A collection of RL algorithms written in JAX.
  ☆98Updated 2 years ago
• oxwhirl / opiq
  Code for Optimistic Exploration even with a Pessimistic Initialisation
  ☆14Updated 4 years ago
• sebascuri / hucrl
  ☆30Updated last year
• uncharted-technologies / risk-and-uncertainty
  Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"
  ☆30Updated 2 years ago