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TianhongDai / reinforcement-learning-algorithms

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

algorithm deep-learning atari2600 flappy-bird deep-reinforcement-learning pytorch dqn ddpg sac actor-critic trpo dueling-dqn trust-region-policy-optimization proximal-policy-optimization ppo a2c soft-actor-critic

Updated Dec 18, 2025
Python

evgenii-nikishin / rl_with_resets

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JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"

machine-learning reinforcement-learning deep-learning atari2600 deep-reinforcement-learning gym flax atari sac dmc overfitting spr jax soft-actor-critic drq deepmind-control-suite

Updated May 17, 2022
Python

rejunity / tiny-atari-2600

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Atari 2600 Open-source System-on-Chip (SoC)

asic retro atari2600 tiny verilog vcs retrogaming tapeout

Updated Dec 10, 2025
Python

felix-kerkhoff / DQfD

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An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games

reinforcement-learning atari2600 dqn learning-from-demonstration tensorflow2

Updated Dec 10, 2022
Python

cgel / DRL

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A collection of Deep Reinforcement Learning algorithms implemented in tensorflow. Very extensible. High performing DQN implementation.

agent machine-learning deep-learning tensorflow atari2600 deep-reinforcement-learning q-learning artificial-intelligence dqn artificial-neural-networks atari drl

Updated Apr 1, 2017
Python

Amin-Sz / Deep-Reinforcement-Learning

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tensorflow atari2600 keras deep-reinforcement-learning pytorch gym box2d ddpg sac actor-critic ddqn evolution-strategies openai-gym-environments ppo td3 pygame-learning-environment pybullet-environments lstm-td3

Updated Aug 23, 2023
Python

Paethon / ct_keras_pong

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An AI that plays Atari 2600 Pong. Trained with reinforcement learning using OpenAI Gym and Keras

reinforcement-learning pong atari2600 keras openai-gym python3 policy-gradient

Updated Oct 9, 2018
Python

ioarun / openai-gym

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👾 My solutions to OpenAI Gym Reinforcement Learning problems.

reinforcement-learning atari2600 openai-gym cartpole mountain-car breakout

Updated Jun 23, 2018
Python

fangyuedong / rainbow-with-ray

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A PyTorch implementation of reinforcement lerning algorithms (DQN, DDQN, Prior DDQN, Distributed) based on ray

benchmark reinforcement-learning atari2600 apex dqn ray ddqn distributed-reinforcement-learning prior-ddqn

Updated Oct 14, 2020
Python

gxywy / pytorch-dqn

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🍻 A simple implementation of dqn algorithm using pytorch

reinforcement-learning atari2600 reinforcement-learning-algorithms atari dqn-pytorch

Updated Jul 30, 2020
Python

mazpie / lbs-exploration

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[AAAI-22] Curiosity-based objective for exploration with reinforcement learning in state-based and vision-based environments.

reinforcement-learning atari2600 exploration curiosity montezuma-revenge

Updated Jan 22, 2024
Python

mtrazzi / quantilizers

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Code from "How useful is quantilization for mitigating specification-gaming?"

reinforcement-learning sklearn atari2600 python3 pytorch behavioral-cloning hopper imitation-learning imitation paper-implementations mujoco-py video-pinball

Updated Jun 17, 2024
Python

Neo-47 / CE-methods-on-gym-environments

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I used Cross Entropy methods as an alternative to reinforcement learning methods to search policy space for the optimal policy where there is no assumption about the structure of the problem for both continuous and discrete space tasks in OpenAI gym.

optimization atari2600 openai-gym evolutionary-algorithms