FelixOpolka / Single-Player-MCTS
π³ Python implementation of single-player Monte-Carlo Tree Search.
β61Updated 3 years ago
Alternatives and similar repositories for Single-Player-MCTS:
Users that are interested in Single-Player-MCTS are comparing it to the libraries listed below
- JAX implementations of core Deep RL algorithmsβ79Updated 2 years ago
- β47Updated 4 years ago
- The Differentiable Cross-Entropy Methodβ125Updated 4 years ago
- β49Updated last year
- Implicit Normalizing Flows + Reinforcement Learningβ60Updated 5 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learningβ94Updated 4 years ago
- Upside-Down Reinforcement Learning (β κ€) implementation in PyTorch. Based on the paper published by JΓΌrgen Schmidhuber.β77Updated 4 years ago
- General Python implementation of Monte Carlo Tree Search for the use with Open AI Gym environments.β37Updated 4 years ago
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020β39Updated 4 years ago
- Modifiable OpenAI Gym environments for studying generalization in RLβ86Updated 6 years ago
- Fully differentiable RL environments, written in Ivy.β64Updated last year
- Public Release of Plan2vec Implementation in pyTorchβ56Updated 2 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithmsβ95Updated 4 years ago
- β70Updated 5 years ago
- β115Updated 5 years ago
- map elites python reference implementationβ79Updated last year
- MultiTask Environments for Reinforcement Learning.β74Updated 2 years ago
- A curated list of reinforcement learning environments and frameworks.β50Updated 5 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithmβ44Updated 6 years ago
- A library of probabilistic model based RL algorithms in pytorchβ108Updated 3 years ago
- Deep Variational Reinforcement Learningβ134Updated 2 years ago
- Library to compare and evaluate reward functionsβ64Updated last year
- Code release for Learning with Opponent-Learning Awareness and variations.β146Updated last year
- On the model-based stochastic value gradient for continuous reinforcement learningβ55Updated last year
- Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learningβ90Updated last year
- A python implemenation of tabular MuZero for educational purposesβ21Updated 5 years ago
- Model-based reinforcement learning in TensorFlowβ55Updated 3 years ago
- Combining Evolutionary Algorithms and deep RL in various waysβ100Updated 4 years ago
- β65Updated 10 months ago
- Convert DeepMind Control Suite to OpenAI gym environments.β84Updated 4 years ago