Implementation of Evolutionary Strategies with Multi-Agent Deep Reinforcement Learning in PettingZoo Environments 🦘
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Updated
Dec 1, 2021 - Python
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soft-actor-critic-continuous
Here are 4 public repositories matching this topic...
We investigate the (deep) Q-learning algorithm on different environments and measure the performance of our agents.
reinforcement-learning
deep-reinforcement-learning
q-learning
atari
vizdoom
multiagent-reinforcement-learning
gridworld-environment
soft-actor-critic
pettingzoo
soft-actor-critic-continuous
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Updated
Jun 2, 2024 - Jupyter Notebook
Exploring Imitation Learning (DAGGER), RL (Policy Gradients and Soft Actor-Critic) and Imitation-Seeded RL for training MuJoCo Environments in OpenAI's Gym
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Updated
Nov 28, 2023 - Python
Reinforcement Learning and Deeep reinforcement Learning
python
deep-learning
deep-reinforcement-learning
epsilon-greedy
pytorch-implementation
soft-actor-critic
q-learning-algorithm
custom-environment
policy-iteration-algorithm
bipedalwalker-v3
lunarlandercontinuous-v2
learning-policies
soft-actor-critic-continuous
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Updated
Jun 5, 2023 - Jupyter Notebook
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