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Topic: "munchausen-reinforcement-learning"

BY571/Soft-Actor-Critic-and-Extensions

PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.

Language: Python - Size: 5.99 MB - Last synced at: 5 months ago - Pushed at: about 4 years ago - Stars: 272 - Forks: 32

BY571/Munchausen-RL

PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN

Language: Jupyter Notebook - Size: 6.56 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 37 - Forks: 3

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.

Language: Python - Size: 2.17 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 13 - Forks: 4

BY571/TD3-and-Extensions

PyTorch implementation of Twin Delayed Deep Deterministic Policy Gradient (TD3) - including additional Extension to improve the algorithm's performance.

Language: Python - Size: 1.73 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

Related Topics
d2rl 3 reinforcement-learning 3 prioritized-experience-replay 3 reinforcement-learning-algorithms 2 nstep-bootstrapping 2 ddpg 2 actor-critic-algorithm 2 continuous-control 1 temporal-differencing-learning 1 reinforcement-learning-agent 1 maximum-entropy 1 td3 1 deep-reinforcement-learning 1 deep-q-learning 1 soft-actor-critic 1 sac 1 pytorch 1 parallel-computing 1 munchausen 1 multi-environment 1 emphasizing-recent-experience 1 continuous 1 pytorch-implementation 1 iqn 1 distributional-rl 1 deep-deterministic-policy-gradient 1 d4pg 1