iqn

Here are 17 public repositories matching this topic...

sungyubkim / Deep_RL_with_pytorch

A pytorch tutorial for DRL(Deep Reinforcement Learning)

deep-reinforcement-learning pytorch dqn mcts uct c51 iqn hedge ppo a2c gail counterfactual-regret-minimization qr-dqn random-network-distillation soft-actor-critic self-imitation-learning

Updated Apr 24, 2023
Jupyter Notebook

Kchu / DeepRL_PyTorch

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Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.

algorithm reinforcement-learning algorithms pytorch dqn quota c51 iqn qr-dqn distributional-rl

Updated Mar 15, 2023
Python

michaelnny / deep_rl_zoo

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A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPole, LunarLander, and MountainCar.

deep-reinforcement-learning rainbow dqn rnd actor-critic r2d2 c51 iqn ppo qr-dqn retrace never-give-up agent57

Updated Feb 21, 2024
Python

deligentfool / dqn_zoo

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The implement of all kinds of dqn reinforcement learning with Pytorch

pytorch dqn ddqn dueling-dqn iqn categorical-dqn soft-q-learning rainbow-dqn qr-dqn prioritized-dqn noisy-dqn n-step-dqn fqf distributional-dqn mmddqn

Updated Mar 25, 2021
Python

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.

reinforcement-learning parallel-computing rainbow pytorch multi-environment dqn reinforcement-learning-algorithms parallel-processing iqn prioritized-experience-replay pytorch-implementation implicit-quantile-networks n-step-bootstrapping distributional-r noisy-layer munchausen

Updated Mar 4, 2023
Jupyter Notebook

JuliaReinforcementLearning / ReinforcementLearningZoo.jl

Sponsor

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machine-learning reinforcement-learning julia julia-language rainbow dqn hacktoberfest ddpg sac c51 cfr iqn ppo a2c td3 counterfactual-regret-minimization

Updated May 6, 2021
Julia

xlnwel / grl

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General-Purpose Reinforcement Learning

reinforcement-learning seed deep-reinforcement-learning rainbow reactor rnd sac ppg r2d2 iqn ppo gail dreamer daac airl qmix fqf mappo

Updated Oct 31, 2021
Python

BY571 / D4PG

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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.

reinforcement-learning ddpg deep-deterministic-policy-gradient iqn prioritized-experience-replay actor-critic-algorithm pytorch-implementation distributional-rl d4pg munchausen-reinforcement-learning nstep-bootstrapping d2rl

Updated Apr 7, 2021
Python

vformanyuk / reinforcement-learning

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Collection of reinforcement learning algorithms implementations with TensorFlow2

reinforcement-learning ddpg sac per r2d2 ddqn importance-sampling iqn ppo a2c td3 qr-dqn ape-x tensorflow2

Updated Mar 24, 2023
Python

Ending2015a / unstable_baselines

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A TF2.0 implementation of RL baselines.

python machine-learning reinforcement-learning dqn gym reinforcement-learning-algorithms codebase c51 iqn ppo baselines td3 tensorflow2 sd3 qrdqn

Updated Sep 24, 2021
Python

rainandwind1 / Deep-Reinforcement-Learning-Algorithms

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This is a reconstruction of previous repository(rl-algorithms).

deep-reinforcement-learning pytorch dqn a3c ddpg sac iqn ppo drqn actorcritic td3 optioncritic

Updated Feb 28, 2022
Python

shadowbourne / R2D4-RL

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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+).

super-mario reinforcement-learning deep-learning q-learning rainbow nes rl r2d2 super-mario-bros iqn d2rl r2d4 r2d4-plus

Updated Jan 24, 2022
Python

alirezakazemipour / Distributional-RL

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Implementation of some of the Deep Distributional Reinforcement Learning Algorithms.

c51 iqn quantile-regression-dqn implicit-quantile-networks distributional-rl fqf qrdqn

Updated Mar 13, 2022
Python

BY571 / D4PG-ray

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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.

reinforcement-learning distributed-computing reinforcement-learning-algorithms ray ddpg iqn state-of-the-art continuous-action-space d4pg