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Gymnasium

글 5개

실험2025년 1월 1일

Mastering Robotic Manipulation with Reinforcement Learning: TQC and DDPG for Fetch Environments

Using reinforcement learning (RL), specifically Truncated Quantile Critics (TQC) and Deep Deterministic Policy Gradient (DDPG), to solve the Fetch environments in Gymnasium Robotics

Gymnasium 로보틱스

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실험2024년 10월 1일

Mastering Atari's Pong with Reinforcement Learning: Overcoming Sparse Rewards and Optimizing Performance

Train an RL agent to master Atari's Pong with sparse rewards and high-dimensional inputs. Explore preprocessing, replay buffers, and performance-boosting strategies

Gymnasium DQN PPO Atari

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실험2024년 9월 1일

Solving Gymnasium's Car Racing with Reinforcement Learning

Learn how to apply reinforcement learning to solve Gymnasium's Car Racing game, see how different algorithms perform, and explore whether discrete or continuous action spaces are better.

Gymnasium PPO DQN SAC

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실험2024년 8월 1일

Comparing how PPO, SAC, and DQN Perform on Gymnasium's Lunar Lander

Explore how different On-Policy and Off-Policy reinforcement learning algorithms perform on Gymnasium's Lunar Lander

DQN Gymnasium PPO SAC

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실험2024년 7월 1일

딥 Q-러닝(DQN)으로 Gymnasium의 루나 랜더 공략하기

강화 학습 알고리즘인 딥 Q-러닝(DQN)의 작동 원리를 알아보고, 이를 적용하여 Gymnasium의 루나 랜더 문제를 해결해 봅니다.

DQN Gymnasium 강화학습

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