iqn

There are 0 repository under iqn topic.

sungyubkim / Deep_RL_with_pytorch
A pytorch tutorial for DRL(Deep Reinforcement Learning)
deep-reinforcement-learning pytorch dqn a2c ppo soft-actor-critic self-imitation-learning random-network-distillation c51 qr-dqn iqn gail mcts uct counterfactual-regret-minimization hedge
Language:Jupyter Notebook 199
Kchu / DeepRL_PyTorch
Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.
c51 qr-dqn iqn quota pytorch dqn reinforcement-learning distributional-rl algorithm algorithms
Language:Python 193
michaelnny / deep_rl_zoo
A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPole, LunarLander, and MountainCar.
dqn r2d2 never-give-up agent57 retrace rainbow ppo c51 iqn qr-dqn actor-critic deep-reinforcement-learning rnd
Language:Python 93
deligentfool / dqn_zoo
The implement of all kinds of dqn reinforcement learning with Pytorch
dqn ddqn dueling-dqn prioritized-dqn noisy-dqn categorical-dqn n-step-dqn rainbow-dqn pytorch qr-dqn iqn fqf distributional-dqn mmddqn soft-q-learning
Language:Python 84
BY571 / IQN-and-Extensions
PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER, Noisy layer, N-step bootstrapping, Dueling architecture and parallel env support.
iqn distributional-r rainbow reinforcement-learning-algorithms reinforcement-learning dqn pytorch-implementation implicit-quantile-networks noisy-layer n-step-bootstrapping prioritized-experience-replay munchausen pytorch parallel-computing parallel-processing multi-environment
Language:Jupyter Notebook 73
JuliaReinforcementLearning / ReinforcementLearningZoo.jl
iqn ddpg ppo julia reinforcement-learning dqn julia-language c51 rainbow a2c td3 cfr counterfactual-regret-minimization machine-learning sac hacktoberfest
Language:Julia 51
xlnwel / grl
General-Purpose Reinforcement Learning
daac ppg ppo rnd fqf iqn rainbow reactor seed r2d2 airl gail dreamer reinforcement-learning sac mappo qmix deep-reinforcement-learning
Language:Python 16
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.
ddpg d4pg prioritized-experience-replay nstep-bootstrapping distributional-rl iqn munchausen-reinforcement-learning d2rl pytorch-implementation reinforcement-learning actor-critic-algorithm deep-deterministic-policy-gradient
Language:Python 14
vformanyuk / reinforcement-learning
Collection of reinforcement learning algorithms implementations with TensorFlow2
reinforcement-learning tensorflow2 ddqn a2c ppo ddpg td3 sac per importance-sampling ape-x r2d2 qr-dqn iqn
Language:Python 12
Ending2015a / unstable_baselines
A TF2.0 implementation of RL baselines.
reinforcement-learning ppo python machine-learning tensorflow2 gym codebase reinforcement-learning-algorithms baselines td3 sd3 dqn c51 qrdqn iqn
Language:Python 10
rainandwind1 / Deep-Reinforcement-Learning-Algorithms
This is a reconstruction of previous repository(rl-algorithms).
deep-reinforcement-learning pytorch dqn drqn actorcritic ddpg a3c ppo td3 sac optioncritic iqn
Language:Python 7
shadowbourne / R2D4-RL
Durham University, Dissertation: 1st - 92. Additional Materials and Codebase for the paper: Combining Recent Advances in Reinforcement Learning for Super Mario Bros. - Recurrent Replay Deeper Denser Distributed DQN+ (R2D4+).
reinforcement-learning super-mario super-mario-bros r2d2 rainbow rl nes iqn r2d4 r2d4-plus d2rl q-learning deep-learning
Language:Python 7
alirezakazemipour / Distributional-RL
Implementation of some of the Deep Distributional Reinforcement Learning Algorithms.
c51 iqn fqf qrdqn distributional-rl implicit-quantile-networks quantile-regression-dqn
Language:Python 5
BY571 / D4PG-ray
Distributed PyTorch implementation of D4PG with ray. Using a 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.
d4pg ray distributed-computing iqn ddpg continuous-action-space reinforcement-learning-algorithms reinforcement-learning state-of-the-art
Language:Python 3
xlnwel / atari_rl
Rainbow, IQN on atari games
atari atari2600 iqn model-free-rl rainbow reinforcement-learning
Language:Python 2
Infinidat / infi.dtypes.iqn
IQN datatype in Python
python iscsi iqn
Language:Python 1
Twodragon0 / server-storage
iSCSI setup for server-storage
grub grub-configuration iqn iscsi server-storage