Bipedal Walker using DQN
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Updated
Jun 26, 2024 - Python
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bipedalwalker-v3
Here are 5 public repositories matching this topic...
Teaching an bipedal bot how to walk using a TD3 algorithm (variant of Reinforcement Learning - Actor & Critic method)
python
reinforcement-learning
deep-reinforcement-learning
pytorch
gym
actor-critic
gym-environment
td3
gym-wrapper
td3-pytorch
bipedalwalker-v3
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Updated
Dec 13, 2022 - Python
This project implements agent training using the Proximal Policy Optimization (PPO) algorithm in the BipedalWalker-v3 environment at two difficulty levels: normal and hardcore. The model's performance is evaluated based on rewards collected during the training process.
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Updated
Sep 30, 2024 - Jupyter Notebook
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
PPO for Bipedal Walker
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Updated
Jul 28, 2024 - Python
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