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kengboon
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rsac-RoadEnv

Reinforcement Learning
PyTorch
English
deep-reinforcement-learning
gymnasium
collision-avoidance
navigation
self-driving
autonomous-vehicle
Eval Results
Model card Files
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  1. .gitattributes +17 -0
  2. RSAC/rsac_share-230708220625/20000_policy +3 -0
  3. RSAC/rsac_share-230708220625/20000_q +3 -0
  4. RSAC/sac_v2_lstm-230703210825/7500_policy +3 -0
  5. RSAC/sac_v2_lstm-230703210825/7500_q1 +3 -0
  6. RSAC/sac_v2_lstm-230703210825/7500_q2 +3 -0
  7. RSAC/sac_v2_lstm-230706072839/10000_policy +3 -0
  8. RSAC/sac_v2_lstm-230706072839/10000_q1 +3 -0
  9. RSAC/sac_v2_lstm-230706072839/10000_q2 +3 -0
  10. RSAC/sac_v2_lstm-230706072839/15000_policy +3 -0
  11. RSAC/sac_v2_lstm-230706072839/15000_q1 +3 -0
  12. RSAC/sac_v2_lstm-230706072839/15000_q2 +3 -0
  13. RSAC/sac_v2_lstm-230706072839/20000_policy +3 -0
  14. RSAC/sac_v2_lstm-230706072839/20000_q1 +3 -0
  15. RSAC/sac_v2_lstm-230706072839/20000_q2 +3 -0
  16. SAC/sac_v2-230704203226/10000_policy +3 -0
  17. SAC/sac_v2-230704203226/10000_q1 +3 -0
  18. SAC/sac_v2-230704203226/10000_q2 +3 -0
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