Bipedal Walker using DQN
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Jun 26, 2024 - Python
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bipedalwalker-v3
Here are 6 public repositories matching this topic...
Use Gymnasium to develop a reinforcement learning agent. First Semester of the Third Year of the Bachelor's Degree in Artificial Intelligence and Data Science.
reinforcement-learning sac trpo ppo reinforcement-learning-agent bipedalwalkerhardcore bipedalwalker-v3
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Feb 12, 2025 - Python
Automated LLM-Guided Reinforcement Learning Testbed. This project leverages the modern BipedalWalker-v3 environment from Gymnasium to orchestrate a continuous cycle of agent training and intelligent reward shaping. By combining Stable Baselines3's PPO algorithm with the reasoning capabilities of Large Language Models (LLMs)
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Apr 13, 2026 - 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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Jun 5, 2023 - Jupyter Notebook
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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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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Jan 7, 2025 - Jupyter Notebook
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