FelixOpolka / Single-Player-MCTS
π³ Python implementation of single-player Monte-Carlo Tree Search.
β62Updated 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
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".β61Updated last year
- The Differentiable Cross-Entropy Methodβ126Updated 4 years ago
- JAX implementations of core Deep RL algorithmsβ79Updated 2 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithmβ44Updated 6 years ago
- β47Updated 4 years ago
- Implicit Normalizing Flows + Reinforcement Learningβ60Updated 5 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the β¦β83Updated 3 years ago
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020β39Updated 4 years ago
- Revisiting Rainbowβ74Updated 3 years ago
- Convert DeepMind Control Suite to OpenAI gym environments.β83Updated 5 years ago
- MultiTask Environments for Reinforcement Learning.β74Updated 2 years ago
- Upside-Down Reinforcement Learning (β κ€) implementation in PyTorch. Based on the paper published by JΓΌrgen Schmidhuber.β77Updated 4 years ago
- A collection of RL algorithms written in JAX.β96Updated 2 years ago
- Deep Reinforcement Learning Framework done with PyTorchβ34Updated 2 weeks ago
- Continual Reinforcement Learning in 3D Non-stationary Environmentsβ37Updated 5 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.β50Updated 3 years ago
- Repo of core reinforcement learning algorithms and explanations using pytorch lightningβ8Updated 4 years ago
- Invariant Causal Prediction for Block MDPsβ44Updated 4 years ago
- β82Updated 3 years ago
- Code for "Learning to Reach Goals via Iterated Supervised Learning"β76Updated 2 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)β94Updated 6 years ago
- Fully differentiable RL environments, written in Ivy.β64Updated last year
- A PyTorch implementation of DeepMind's MCTSnetβ18Updated 2 years ago
- Code for Optimistic Exploration even with a Pessimistic Initialisationβ14Updated 4 years ago
- On the model-based stochastic value gradient for continuous reinforcement learningβ55Updated last year
- Pytorch implementation of distributed deep reinforcement learningβ75Updated 2 years ago
- β30Updated 4 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entireβ¦β67Updated 4 years ago
- Pytorch implementation of Stable Opponent Shaping (https://openreview.net/pdf?id=SyGjjsC5tQ).β21Updated 5 years ago
- Learning Action-Value Gradients in Model-based Policy Optimizationβ31Updated 3 years ago