lagom
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
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- ddpg_agent.py
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- td3_agent.py
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- agent.py
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- replay_buffer.py
- __init__.py
- agent.py
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- __init__.py
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- plot.ipynb
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- unzip_logs.py
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- conf.py
- envs.rst
- experiment.rst
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- setup.rst
- transform.rst
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- Makefile
- requirements.txt
- main.ipynb
- __init__.py
- engine.py
- experiment.py
- model.py
- README.md
- __init__.py
- __init__.py
- normalize_observation.py
- normalize_reward.py
- record_episode_statistics.py
- timestep_env.py
- __init__.py
- config.py
- run_experiment.py
- __init__.py
- gae.py
- returns.py
- td.py
- vtrace.py
- __init__.py
- categorical_head.py
- diag_gaussian_head.py
- init.py
- ln_rnn.py
- lr_scheduler.py
- make_blocks.py
- mdn_head.py
- module.py
- __init__.py
- describe.py
- explained_variance.py
- geometric_cumsum.py
- interp_curves.py
- linear_schedule.py
- polyak_average.py
- rank_transform.py
- running_mean_var.py
- segment_tree.py
- smooth_filter.py
- __init__.py
- colorize.py
- conditioner.py
- dtype.py
- multiprocessing.py
- seeding.py
- serialize.py
- timing.py
- yes_no.py
- __init__.py
- grid_image.py
- image_viewer.py
- utils.py
- __init__.py
- agent.py
- data.py
- engine.py
- es.py
- logger.py
- runner.py
- version.py
- result.png
- config.yml
- __init__.py
- agent.py
- algo.py
- engine.py
- experiment.py
- plot.ipynb
- README.md
- agent_1.pth
- config.yml
- __init__.py
- agent.py
- engine.py
- experiment.py
- configs.pkl
- __init__.py
- agent.py
- engine.py
- experiment.py
- README.md
- clip_action.py
- clip_reward.py
- episode_runner.py
- experiment_master.py
- experiment_worker.py
- flatten_observation.py
- frame_stack.py
- gray_scale_observation.py
- ln_rnn.py
- ln_rnncell.py
- make_vec_env.py
- parallel_vec_env.py
- resize_observation.py
- run_experiment.py
- scale_reward.py
- scaled_float_frame.py
- sign_clip_reward.py
- space_utils.py
- time_aware_observation.py
- time_limit.py
- trajectory.py
- utils.py
- vec_env.py
- vec_monitor.py
- vec_standardize_observation.py
- vec_standardize_reward.py
- vec_step_info.py
- 1_setup_system.sh
- 2_install_miniconda.sh
- 3_setup_envs.sh
- README.md
- __init__.py
- sanity_env.py
- test_envs.py
- test_experiment.py
- test_lagom.py
- test_metric.py
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- setup.cfg
- setup.py
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