add models

fix model names

trained ppo for diagnostics

trained ppo

add trained ppo longer lookback and sequence

rename model

ppo lstm no leverage env variations + sentiment no action scaling

cleaup models

ppo sentiment, ppo env variations

ppo base features sentiment

trained ppo agents 1e21 cash

ppo trained agents max exposure + asset cap pct with 1e15 cash

trained ppo lstm agents

trained ppo asset cap rnn

trained ppo agents

ppo max exposure correct actions from env

trained ppo lstm max exposure

trained ppo with max exposure

trained ppo agents correct model actions in [-1, 1]

agents ppo clipped actions [-1, 1] + fixed implicit leverage

ppo agents smaller mlp

add trained agents

ppo agents 168/4320 window lens

rename model

trained ppo agents

ppo agents 24/8640 min/max window lens

rename agent folder

ppo agents normalized stretched windows new scales

ppo agent with random assets initialization

add ppo agent no gamma return

trained ppo agents

only feats normalized data trained ppo agents

add ppo trained agents

clean agents + ppo agent normalized data

ppo agent random window random initial state

add ppo agents random window

agent ppo 8k steps 300 epochs

ppo 8k steps full cover agent

remove unecesary agents

remove old agents

ppo agent 6k steps 300 epochs

agent ppo 6k steps full coverage

agent ppo 4k steps full data coverage

agent ppo full data coverage

training ppo 1k epochs

remove agent

add ppo 200 epochs agent

add random start ppo agent

ppo 1k steps 0.2 clip 20 train iters

ppo with increased lr 3e-4/1e-3