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Search results for reinforcement learning prioritized experience replay
prioritized-experience-replay
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reinforcement-learning
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12 search results found
Deeprl Tutorials
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726
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Machin
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206
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Soft Actor Critic And Extensions
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87
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
Distributed_rl
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66
Pytorch implementation of distributed deep reinforcement learning
Prioritized_experience_replay
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36
Prioritized Experience Replay implementation with proportional prioritization
Reinforcementlearning
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32
强化学习算法库,包含了目前主流的强化学习算法(Value based and Policy basd)的代码,代码都经过调试并可以运行
Codes For Rl Per
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15
A novel DDPG method with prioritized experience replay (IEEE SMC 2017)
Rlcodebase
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12
RLCodebase: PyTorch Codebase For Deep Reinforcement Learning Algorithms
Modular_her
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11
Modular-HER is revised from OpenAI baselines and supports many improvements for Hindsight Experience Replay as modules.
Dqn
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7
Applying the DQN-Agent from keras-rl to Starcraft 2 Learning Environment and modding it to to use the Rainbow-DQN algorithms.
Iqn And Extensions
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7
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.
Normalized Advantage Function Naf
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5
PyTorch implementation of the Q-Learning Algorithm Normalized Advantage Function for continuous control problems + PER and N-step Method
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1-12 of 12 search results
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