result_GEN_2.json

{"label": "Simple Adversarial MultiBidMarketEfficient-v0 GEN_2 18/2 00:06", "hyperparameters": {"action_space": "Discrete(2002)", "action_space_size": "2002", "Agent": "<class 'rl.agents.dqn.DQNAgent'>", "Memory Type": "<class 'rl.memory.SequentialMemory'>", "Memory Limit": 50000, "Memory Window Length": 1, "nb_steps_warmup": 100, "target_model_update": 0.001, "nb_actions": 2002, "batch_size": 32, "gamma": 0.99, "Learning Rate": 0.01}, "metadata": {"Environment": "MultiBidMarketEfficient-v0", "datetime": "2020-02-18T00:06:06.057473+11:00", "Market: PARTICIPANTS": ["GEN_1", "GEN_2"], "Market: MAX_DEMAND": 10, "Market: REVEAL_PREVIOUS_BIDS": true, "Market: PROVIDE_HISTORICAL_CONTEXT": false, "Market: SHOW_NEXT_DEMAND": true, "Market: DEMAND_TYPE": "evolving", "Market: NUM_BANDS": 5, "Market: MIN_PRICE": 0, "Market: MAX_PRICE": 10, "Market: MARKET_SERVER": "tcp://localhost:5570"}, "notes": "", "timeseries": {"epoch_reward": {"label": "Epoch Reward", "data": [0]}, "demand": {"label": "Demand", "data": []}, "price": {"label": "Price", "data": []}}, "bids": {}, "bidstacks": {}, "model_json": "{\"class_name\": \"Sequential\", \"config\": {\"name\": \"sequential_1\", \"layers\": [{\"class_name\": \"LSTM\", \"config\": {\"name\": \"lstm_1\", \"trainable\": true, \"batch_input_shape\": [null, 1, 4], \"dtype\": \"float32\", \"return_sequences\": true, \"return_state\": false, \"go_backwards\": false, \"stateful\": false, \"unroll\": false, \"units\": 64, \"activation\": \"tanh\", \"recurrent_activation\": \"sigmoid\", \"use_bias\": true, \"kernel_initializer\": {\"class_name\": \"VarianceScaling\", \"config\": {\"scale\": 1.0, \"mode\": \"fan_avg\", \"distribution\": \"uniform\", \"seed\": null}}, \"recurrent_initializer\": {\"class_name\": \"Orthogonal\", \"config\": {\"gain\": 1.0, \"seed\": null}}, \"bias_initializer\": {\"class_name\": \"Zeros\", \"config\": {}}, \"unit_forget_bias\": true, \"kernel_regularizer\": null, \"recurrent_regularizer\": null, \"bias_regularizer\": null, \"activity_regularizer\": null, \"kernel_constraint\": null, \"recurrent_constraint\": null, \"bias_constraint\": null, \"dropout\": 0.0, \"recurrent_dropout\": 0.0, \"implementation\": 2}}, {\"class_name\": \"LSTM\", \"config\": {\"name\": \"lstm_2\", \"trainable\": true, \"dtype\": \"float32\", \"return_sequences\": false, \"return_state\": false, \"go_backwards\": false, \"stateful\": false, \"unroll\": false, \"units\": 64, \"activation\": \"tanh\", \"recurrent_activation\": \"sigmoid\", \"use_bias\": true, \"kernel_initializer\": {\"class_name\": \"VarianceScaling\", \"config\": {\"scale\": 1.0, \"mode\": \"fan_avg\", \"distribution\": \"uniform\", \"seed\": null}}, \"recurrent_initializer\": {\"class_name\": \"Orthogonal\", \"config\": {\"gain\": 1.0, \"seed\": null}}, \"bias_initializer\": {\"class_name\": \"Zeros\", \"config\": {}}, \"unit_forget_bias\": true, \"kernel_regularizer\": null, \"recurrent_regularizer\": null, \"bias_regularizer\": null, \"activity_regularizer\": null, \"kernel_constraint\": null, \"recurrent_constraint\": null, \"bias_constraint\": null, \"dropout\": 0.0, \"recurrent_dropout\": 0.0, \"implementation\": 2}}, {\"class_name\": \"Dense\", \"config\": {\"name\": \"dense_1\", \"trainable\": true, \"dtype\": \"float32\", \"units\": 32, \"activation\": \"linear\", \"use_bias\": true, \"kernel_initializer\": {\"class_name\": \"VarianceScaling\", \"config\": {\"scale\": 1.0, \"mode\": \"fan_avg\", \"distribution\": \"uniform\", \"seed\": null}}, \"bias_initializer\": {\"class_name\": \"Zeros\", \"config\": {}}, \"kernel_regularizer\": null, \"bias_regularizer\": null, \"activity_regularizer\": null, \"kernel_constraint\": null, \"bias_constraint\": null}}, {\"class_name\": \"Activation\", \"config\": {\"name\": \"activation_1\", \"trainable\": true, \"dtype\": \"float32\", \"activation\": \"relu\"}}, {\"class_name\": \"Dense\", \"config\": {\"name\": \"dense_2\", \"trainable\": true, \"dtype\": \"float32\", \"units\": 2002, \"activation\": \"linear\", \"use_bias\": true, \"kernel_initializer\": {\"class_name\": \"VarianceScaling\", \"config\": {\"scale\": 1.0, \"mode\": \"fan_avg\", \"distribution\": \"uniform\", \"seed\": null}}, \"bias_initializer\": {\"class_name\": \"Zeros\", \"config\": {}}, \"kernel_regularizer\": null, \"bias_regularizer\": null, \"activity_regularizer\": null, \"kernel_constraint\": null, \"bias_constraint\": null}}]}, \"keras_version\": \"2.3.1\", \"backend\": \"tensorflow\"}"}