Alternatives and similar repositories for MCTSnet

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

• philipjball / SAC_PyTorch
  🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation
  ☆38Updated 3 years ago
• joeybose / FloRL
  Implicit Normalizing Flows + Reinforcement Learning
  ☆61Updated 6 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 4 months ago
• toshikwa / rljax
  A collection of RL algorithms written in JAX.
  ☆104Updated 3 years ago
• instadeepai / fastpbrl
  Vectorization techniques for fast population-based training.
  ☆56Updated 3 years ago
• BY571 / Munchausen-RL
  PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN
  ☆45Updated 5 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
• hr0nix / omega
  A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environm…
  ☆41Updated 3 years ago
• younggyoseo / RE3
  RE3: State Entropy Maximization with Random Encoders for Efficient Exploration
  ☆69Updated 4 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
• danijar / crafter-baselines
  Docker containers of baseline agents for the Crafter environment
  ☆30Updated 3 years ago
• Hwhitetooth / jax_muzero
  An implementation of MuZero in JAX.
  ☆57Updated 3 years ago
• ElisevanderPol / symmetrizer
  ☆32Updated 4 years ago
• dannysdeng / dqn-pytorch
  PyTorch - Implicit Quantile Networks - Quantile Regression - C51
  ☆22Updated 6 years ago
• epignatelli / discovering-reinforcement-learning-algorithms
  A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…
  ☆23Updated 4 years ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 4 years ago
• boschresearch / DD_OPG
  Implementation prototype of the Deep Deterministic Off-Policy Gradient (DD-OPG) method.
  ☆11Updated 6 years ago
• oxwhirl / opiq
  Code for Optimistic Exploration even with a Pessimistic Initialisation
  ☆14Updated 5 years ago
• atavakol / action-hypergraph-networks
  (ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices
  ☆23Updated 4 years ago
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆32Updated 4 years ago
• henry-prior / jax-rl
  JAX implementations of core Deep RL algorithms
  ☆82Updated 3 years ago
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆75Updated 4 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 5 years ago
• jonasrothfuss / model_ensemble_meta_learning
  Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm
  ☆44Updated 7 years ago
• xkianteb / dril
  Disagreement-Regularized Imitation Learning
  ☆30Updated 4 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• hr0nix / dejax
  Accelerated replay buffers in JAX
  ☆45Updated 3 years ago
• yfletberliac / adversarially-guided-actor-critic
  AGAC: Adversarially Guided Actor-Critic
  ☆47Updated 4 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• jannerm / gamma-models
  Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"
  ☆45Updated 2 years ago