diff --git a/examples/2. REINFORCE TopK Off Policy Correction/0. Inner workings of REINFORCE inside recnn (optional).ipynb b/examples/2. REINFORCE TopK Off Policy Correction/0. Inner workings of REINFORCE inside recnn (optional).ipynb index 0ea560d..0b4ed40 100644 --- a/examples/2. REINFORCE TopK Off Policy Correction/0. Inner workings of REINFORCE inside recnn (optional).ipynb +++ b/examples/2. REINFORCE TopK Off Policy Correction/0. Inner workings of REINFORCE inside recnn (optional).ipynb @@ -415,8 +415,10 @@ " if step % params['policy_step'] == 0 and step > 0:\n", " \n", " policy_loss = params['reinforce'](nets['policy_net'], optimizer['policy_optimizer'], learn=learn)\n", + " \n", " del nets['policy_net'].rewards[:]\n", " del nets['policy_net'].saved_log_probs[:]\n", + " \n", " print('step: ', step, '| value:', value_loss.item(), '| policy', policy_loss.item())\n", " \n", " recnn.utils.soft_update(nets['value_net'], nets['target_value_net'], soft_tau=params['soft_tau'])\n", diff --git a/examples/2. REINFORCE TopK Off Policy Correction/1. Basic Reinforce with RecNN.ipynb b/examples/2. REINFORCE TopK Off Policy Correction/1. Basic Reinforce with RecNN.ipynb index 1adccd2..904fad3 100644 --- a/examples/2. REINFORCE TopK Off Policy Correction/1. Basic Reinforce with RecNN.ipynb +++ b/examples/2. REINFORCE TopK Off Policy Correction/1. Basic Reinforce with RecNN.ipynb @@ -1,5 +1,14 @@ { "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Reinforce with recnn\n", + "\n", + "note: due to implementation details, this algorithm currently doesn't support testing" + ] + }, { "cell_type": "code", "execution_count": 1, @@ -9,8 +18,6 @@ "import torch\n", "import torch.nn as nn\n", "from torch.utils.tensorboard import SummaryWriter\n", - "import torch.nn.functional as F\n", - "from torch.distributions import Categorical\n", "\n", "import numpy as np\n", "import pandas as pd\n", @@ -33,9 +40,9 @@ "batch_size = 10\n", "n_epochs = 100\n", "plot_every = 30\n", - "step = 0\n", "num_items = 5000 # n items to recommend. Can be adjusted for your vram \n", "# --- \n", + "\n", "tqdm.pandas()\n", "\n", "\n", @@ -52,18 +59,18 @@ "name": "stdout", "output_type": "stream", "text": [ - "action space is reduced to 26744 - 25744 = 1000\n" + "action space is reduced to 26744 - 21744 = 5000\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "19e6f28b52204d98b7164b16325a8c6c", + "model_id": "52b7ea15d27344e6a9a9c5483a54dd4e", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "HBox(children=(IntProgress(value=0, max=12840344), HTML(value='')))" + "HBox(children=(IntProgress(value=0, max=18946308), HTML(value='')))" ] }, "metadata": {}, @@ -79,12 +86,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b2fc7accdae64a6392ce64518e1a6adc", + "model_id": "affca9bafb8c470089a74d2fc504f004", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "HBox(children=(IntProgress(value=0, max=12840344), HTML(value='')))" + "HBox(children=(IntProgress(value=0, max=18946308), HTML(value='')))" ] }, "metadata": {}, @@ -100,12 +107,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b2176330700441c7bcc09c11e5ebf4c1", + "model_id": "310e0dbdcc014169923efd52a5945f60", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "HBox(children=(IntProgress(value=0, max=138475), HTML(value='')))" + "HBox(children=(IntProgress(value=0, max=138493), HTML(value='')))" ] }, "metadata": {}, @@ -127,7 +134,7 @@ " \n", "def prepare_dataset(**kwargs):\n", " recnn.data.build_data_pipeline([recnn.data.truncate_dataset,\n", - " recnn.data.prepare_dataset], reduce_items_to=1000, **kwargs)\n", + " recnn.data.prepare_dataset], reduce_items_to=num_items, **kwargs)\n", " \n", "# embeddgings: https://drive.google.com/open?id=1EQ_zXBR3DKpmJR3jBgLvt-xoOvArGMsL\n", "env = recnn.data.env.FrameEnv('../../data/embeddings/ml20_pca128.pkl',\n", @@ -143,30 +150,30 @@ "outputs": [], "source": [ "value_net = recnn.nn.Critic(1290, num_items, 2048, 54e-2).to(cuda)\n", - "value_net.save_limit = 15\n", "policy_net = recnn.nn.DiscreteActor(1290, num_items, 2048).to(cuda)\n", "\n", "reinforce = recnn.nn.Reinforce(policy_net, value_net)\n", "reinforce = reinforce.to(cuda)\n", "\n", + "reinforce.writer = SummaryWriter(log_dir='../../runs')\n", "plotter = recnn.utils.Plotter(reinforce.loss_layout, [['value', 'policy']],)" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "step 990\n" + "step 14460\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -180,18 +187,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "step: 1000 | value: 10.312933921813965 | policy 1737.69384765625\n" - ] - }, - { - "ename": "AssertionError", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mAssertionError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[0mplotter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot_loss\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 11\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mreinforce\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_step\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1000\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m \u001b[0;32massert\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 13\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 14\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mAssertionError\u001b[0m: " + "step: 14460 | value: 2.7822153568267822 | policy -2159.029052734375\n", + "step: 14470 | value: 4.465047359466553 | policy 2354.139892578125\n" ] } ], @@ -199,7 +196,7 @@ "for epoch in range(n_epochs):\n", " for batch in tqdm(env.train_dataloader):\n", " loss = reinforce.update(batch)\n", - " reinforce._step += 1\n", + " reinforce.step()\n", " if loss:\n", " plotter.log_losses(loss)\n", " if reinforce._step % plot_every == 0:\n", @@ -207,8 +204,8 @@ " print('step', reinforce._step)\n", " plotter.plot_loss()\n", " if reinforce._step > 1000:\n", - " assert False\n", - " \n", + " pass\n", + " # assert False\n", " " ] } diff --git a/recnn/nn/models.py b/recnn/nn/models.py index bfc3da1..f049927 100755 --- a/recnn/nn/models.py +++ b/recnn/nn/models.py @@ -82,11 +82,6 @@ def __init__(self, input_dim, action_dim, hidden_size, init_w=0): self.saved_log_probs = [] self.rewards = [] - # with large action spaces it can be overflowed - # in order to prevent this, I set a max limit - - self.save_limit = 15 - def forward(self, inputs): x = inputs x = F.relu(self.linear1(x)) @@ -94,11 +89,6 @@ def forward(self, inputs): return F.softmax(action_scores) def select_action(self, state): - - if len(self.saved_log_probs) > self.save_limit: - del self.saved_log_probs[:] - del self.rewards[:] - probs = self.forward(state) m = Categorical(probs) action = m.sample() diff --git a/recnn/nn/update/bcq.py b/recnn/nn/update/bcq.py index a28ce3a..0ac4034 100644 --- a/recnn/nn/update/bcq.py +++ b/recnn/nn/update/bcq.py @@ -125,7 +125,7 @@ def bcq_update(batch, params, nets, optimizer, perturbator_loss = perturbator_loss.mean() if learn: - if step % params['perturbator_step']: + if step % params['perturbator_step'] == 0: optimizer['perturbator_optimizer'].zero_grad() perturbator_loss.backward() torch.nn.utils.clip_grad_norm_(nets['perturbator_net'].parameters(), -1, 1) diff --git a/recnn/nn/update/reinforce.py b/recnn/nn/update/reinforce.py index 01baa21..9ecc0ab 100644 --- a/recnn/nn/update/reinforce.py +++ b/recnn/nn/update/reinforce.py @@ -52,7 +52,11 @@ def __call__(self, policy, optimizer, learn=True): def reinforce_update(batch, params, nets, optimizer, device=torch.device('cpu'), debug=None, writer=utils.DummyWriter(), - learn=False, step=-1): + learn=True, step=-1): + + # Due no its mechanics, reinforce doesn't support testing! + learn = True + state, action, reward, next_state, done = data.get_base_batch(batch) predicted_action, predicted_probs = nets['policy_net'].select_action(state) @@ -60,11 +64,10 @@ def reinforce_update(batch, params, nets, optimizer, nets['policy_net'].rewards.append(reward.mean()) value_loss = value_update(batch, params, nets, optimizer, - writer=writer, - device=device, - debug=debug, learn=learn, step=step) + writer=writer, device=device, + debug=debug, learn=True, step=step) - if len(nets['policy_net'].saved_log_probs) > params['policy_step'] and learn: + if step % params['policy_step'] == 0 and step > 0: policy_loss = params['reinforce'](nets['policy_net'], optimizer['policy_optimizer'], learn=learn) print('step: ', step, '| value:', value_loss.item(), '| policy', policy_loss.item())