MAAC/attention_sac.py at master · shariqiqbal2810/MAAC

When others mention you, assign you, or request your review, GitHub will let them know that you have limited availability.

MAAC/algorithms/attention_sac.py at master · shariqiqbal2810/MAAC · GitHub Skip to content You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert {{ message }} shariqiqbal2810 / MAAC Public Notifications You must be signed in to change notification settings Fork 181 Star 807 Files Expand file tree master / attention_sac.py Copy path Blame More file actions Blame More file actions Latest commit History History H

saved by

• 4

related reading

• Soft Actor-Critic - Spinning Up documentationspinningup.openai.com
• Policy Gradient Algorithms | Lil'Loglilianweng.github.io
• A (Long) Peek into Reinforcement Learning | Lil'Loglilianweng.github.io
• The 37 Implementation Details of Proximal Policy Optimization · The ICLR Blog Trackiclr-blog-track.github.io
• Learning Beyond Gradientstrinkle23897.github.io
• Soft Actor-Critic for continuous and discrete actions | by Wah Loon Keng | Mediummedium.com
• Deep Reinforcement Learning: Pong from Pixelskarpathy.github.io
• Algorithms — Ray 2.55.1docs.ray.io
• [1707.06347] Proximal Policy Optimization Algorithmsarxiv.org
• A Graphic Guide to Implementing PPO for Atari Games | Towards Data Sciencetowardsdatascience.com
• Extended Data Fig. 5: Training progress. | Naturenature.com
• GitHub - marlbenchmark/on-policy: This is the official implementation of Multi-Agent PPO (MAPPO). · GitHubgithub.com