rlberry - A Reinforcement Learning Library for Research and Education

Release of version 0.4.0 of rlberry.

New in 0.4.0

PR #273

• Change the default behavior of plot_writer_data so that if seaborn has version >= 0.12.0 then a 90% percentile interval is used instead of sd.

PR #269

• Add rlberry.envs.PipelineEnv a way to define pipeline of wrappers in a simple way.

PR #262

• PPO can now handle continuous actions.

PR #261, #264

• Implementation of Munchausen DQN in rlberry.agents.torch.MDQNAgent.

• Comparison of MDQN with DQN agent in the long tests.

PR #244, #250, #253

• Compress the pickles used to save the trained agents.

PR #235

• Implementation of rlberry.envs.SpringCartPole environment, an RL environment featuring two cartpoles linked by a spring.

PR #226, #227

• Improve logging, the logging level can now be changed with rlberry.utils.logging.set_level().

• Introduce smoothing in curves done with plot_writer_data when only one seed is used.

PR #223

• Moved PPO from experimental to torch agents. Tested and benchmarked.