DSR
Deep RL Algorithm
An algorithm for deep reinforcement learning that combines model-free and model-based approaches to learn robust value functions.
98 stars
13 watching
26 forks
Language: Lua
last commit: over 8 years ago
Linked from 1 awesome list
carpedm20/awesome-torchRelated projects:
| Repository | Description | Stars |
|---|---|---|
 ikostrikov/pytorch-ddpg-naf | An implementation of reinforcement learning algorithms for continuous control tasks using deep neural networks. | 307 |
 matthiasplappert/keras-rl | A Python library implementing state-of-the-art deep reinforcement learning algorithms for Keras and OpenAI Gym environments. | 8 |
 devendrachaplot/deeprl-grounding | Trains an RL agent to execute natural language instructions in a 3D environment using a combination of A3C and gated attention mechanisms. | 237 |
 floringogianu/categorical-dqn | An implementation of reinforcement learning algorithm using PyTorch and designed to work with Atari games. | 96 |
 catohaste/pomdp | An implementation of a reinforcement learning algorithm based on a partially observable Markov decision process for a simple decision task | 54 |
 cpnota/autonomous-learning-library | A comprehensive library for building deep reinforcement learning agents using PyTorch | 647 |
 jingweiz/pytorch-rl | A comprehensive project that provides an implementation of deep reinforcement learning algorithms using PyTorch and Visdom. | 798 |
 5vision/darqn | An implementation of a deep reinforcement learning model for continuous control tasks | 116 |
 astooke/rlpyt | A modular and unified framework for implementing common deep reinforcement learning algorithms in PyTorch | 2,236 |
 luchris429/purejaxrl | A high-performance implementation of reinforcement learning training pipelines using JAX and PyTorch-like functionality | 755 |
 kaixhin/rainbow | A Python implementation of a deep reinforcement learning algorithm combining multiple techniques for improved performance in Atari games | 1,591 |
| ikostrikov/jaxrl | Provides JAX implementations of various reinforcement learning algorithms with continuous action spaces. | 640 |
 conglu1997/v-d4rl | Provides pre-built datasets and code for offline reinforcement learning from visual observations using deep learning algorithms | 94 |
 rl-tools/rl-tools | An open-source C++ library for training reinforcement learning policies and controlling continuous-control environments. | 680 |
 google-research/deep_ope | Provides benchmarking policies and datasets for offline reinforcement learning | 85 |