Reinforced-lib 1.1.0

Major API changes:

• Migrate from haiku (deprecated) to flax as the base naural network library.
• Update agent names to match literature:
  • QLearning (deep Q-learning) -> DQN,
  • DQN (deep double Q-learning) -> DDQN.
• Move particle filter from agents to utils.
• New behavior of loggers - all declared loggers get values from all sources.

New functionalities:

• Add Weights & Biases logger.

Other important changes:

• Fix updates with empty replay buffer.
• Fix logging of arrays to TensorBoard.
• Minor improvements in documentation.
• Rewrite Gymnasium integration example in documentation.
• Improve the CCOD example to better reflect the original implementation.