distributional-rl
There are 19 repositories under distributional-rl topic.
Kchu/DeepRL_PyTorch
Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.
marload/DistRL-TensorFlow2
🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.
RobustFieldAutonomyLab/Multi_Robot_Distributional_RL_Navigation
[ICRA 2024] Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learning
RobustFieldAutonomyLab/Distributional_RL_Navigation
[IROS 2023] Robust Unmanned Surface Vehicle Navigation with Distributional Reinforcement Learning
BY571/FQF-and-Extensions
PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF) and Extensions: N-step Bootstrapping, PER, Noisy Layer, Dueling Networks, and parallelization.
RobustFieldAutonomyLab/Stochastic_Road_Network
[UR 2023] Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment
BY571/D4PG
PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2RL which can be added to D4PG to improve its performance.
lucadellalib/actorch
Deep reinforcement learning framework for fast prototyping based on PyTorch
alirezakazemipour/Distributional-RL
Implementation of some of the Deep Distributional Reinforcement Learning Algorithms.
hsjharvey/Reinforcement-Learning
Reinforcement learning algorithm implementation
YoZo-X/DRL-Router
DRL-Router is a method based on distributional reinforcement learning for RSP problem。
bjliaa/c2d
Distributional reinforcement learning algorithm using conjugated discrete distributions (C2D). Data and graphs for stochastic Atari 2600 environments.
amirabbasii/Cartpole_C51
Solving CartPole using Distributional RL
harwiltz/distributional-superiority
Author implementation of DSUP(q) algorithms from the NeurIPS 2024 paper "Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning"
afairless/rainbow_rl_slides
Slide presentation reviewing advances in reinforcement learning
IcarusWizard/simrl
Simple Implementations of RL Algorithm in PyTorch
nslyubaykin/relax_categorical_dqn_example
Example Categorical DQN implementation with ReLAx