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ppo-LunarLander-v2 – AI Model by CharithAnupama | AlphaNeural AI
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CharithAnupama
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ppo-LunarLander-v2
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tensorboard
LunarLander-v2
ppo
reinforcement-learning
deep-rl-course
custom-implementation
model-index
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PPO Agent Playing LunarLander-v2
Trained with a PPO implementation from scratch (CleanRL-style) in PyTorch.
Results
Mean reward: 8.59
Std reward: 73.34
Hyperparameters
exp_name
: ppo_from_scratch
seed
: 1
cuda
: 1
env_id
: LunarLander-v2
total_timesteps
: 400000
learning_rate
: 0.00025
num_envs
: 8
num_steps
: 128
anneal_lr
: 1
gamma
: 0.99
gae_lambda
: 0.95
num_minibatches
: 4
update_epochs
: 4
clip_coef
: 0.2
ent_coef
: 0.01
vf_coef
: 0.5
max_grad_norm
: 0.5
repo_id
: CharithAnupama/ppo-LunarLander-v2
batch_size
: 1024
minibatch_size
: 256