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t was not defined, I assumed to be equal to batch size and computing … #13

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4 changes: 2 additions & 2 deletions main.py
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Expand Up @@ -118,8 +118,8 @@
writer.add_scalar('reward/train', episode_reward, i_episode)

# Update param_noise based on distance metric
if args.param_noise:
episode_transitions = memory.memory[memory.position-t:memory.position]
if args.param_noise and len(memory) >= args.batch_size:
episode_transitions = memory.memory[memory.position-args.batch_size:memory.position]
states = torch.cat([transition[0] for transition in episode_transitions], 0)
unperturbed_actions = agent.select_action(states, None, None)
perturbed_actions = torch.cat([transition[1] for transition in episode_transitions], 0)
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