KR-DL-UCT
RL framework
Develops a reinforcement learning algorithm to select actions in continuous spaces with deep neural networks and Monte Carlo tree search.
[ICML 2018] Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling
36 stars
4 watching
3 forks
Language: Python
last commit: over 7 years ago
Linked from 1 awesome list
benedekrozemberczki/awesome-monte-carlo-tree-search-papersRelated projects:
| Repository | Description | Stars |
|---|---|---|
 liamconnell/deep-algotrading | A project demonstrating the application of deep learning techniques to financial data and algorithmic trading | 234 |
 ikostrikov/jaxrl | Provides JAX implementations of various reinforcement learning algorithms with continuous action spaces. | 640 |
 kh-kim/stock_market_reinforcement_learning | Provides a general environment for stock market trading simulation using OpenAI Gym and reinforcement learning algorithms | 791 |
| ikostrikov/pytorch-ddpg-naf | An implementation of reinforcement learning algorithms for continuous control tasks using deep neural networks. | 307 |
 kristjankorjus/replicating-deepmind | Reproducing DeepMind's Atari game-playing system using C++ and GPU acceleration | 653 |
 vict0rsch/deep_learning | A collection of tutorials and resources on implementing deep learning models using Python libraries such as Keras and Lasagne. | 426 |
 thedimlebowski/trading-gym | A reinforcement learning framework for developing trading strategies | 550 |
 zhengwang100/rect | A deep learning framework for graph representation learning with partially labeled data | 19 |
 intelligent-machine-learning/dlrover | Automates large-scale deep learning training on distributed clusters, providing fault tolerance and fast recovery from failures. | 1,302 |
 rksltnl/deep-metric-learning-cvpr16 | A software framework for building deep metric learning models using lifted structured feature embedding | 346 |
 eckucukoglu/cengball | A soccer simulation game with artificial intelligence and stochastic structure, designed to be programmed by users. | 33 |
 anirudhjoshi/fluid_table_tennis | A web application that combines a game of table tennis with a fluid dynamics simulation | 79 |
 chrisnc/tangaroa | A toy implementation of the Raft protocol with an experimental BFT variant in Haskell. | 111 |
 tdeboissiere/deeplearningimplementations | A collection of implementations of recent deep learning papers in Python | 1,814 |