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bentrevett / pytorch-rl

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

reinforcement-learning pytorch policy-gradient reinforcement-learning-algorithms rl actor-critic pytorch-tutorial pytorch-tutorials pytorch-rl advantage-actor-critic a2c pytorch-implmention pytorch-implementation generalized-advantage-estimation

Updated Oct 23, 2020
Jupyter Notebook

adik993 / ppo-pytorch

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Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)

reinforcement-learning deep-learning pytorch icm proximal-policy-optimization ppo mountaincar-v0 cartpole-v1 intrinsic-curiosity-module generalized-advantage-estimation pendulum-v0

Updated Jan 12, 2019
Python

hcnoh / rl-collection-pytorch

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A collection of Reinforcement Learning implementations with PyTorch

reinforcement-learning deep-learning gae deep-reinforcement-learning openai-gym pytorch policy-gradient continuous-control actor-critic trpo trust-region-policy-optimization proximal-policy-optimization ppo generalized-advantage-estimation

Updated Mar 22, 2022
Python

Oafish1 / CellTRIP

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CellTRIP, Inferring virtual cell environments using multi-agent reinforcement learning for spatiotemporal trajectory interpolation, imputation, and perturbation

reinforcement-learning single-cell proximal-policy-optimization generalized-advantage-estimation spatiotemporal-data-analysis popart cross-modal-imputation

Updated Jul 30, 2026
Python

Alpha-Park / genpark-gae-generalized-advantage-estimation-skill

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Generalized Advantage Estimation (GAE-Lambda) exponentially weighted temporal difference calculator

reinforcement-learning mcp gae variance-reduction actor-critic python-standard-library temporal-difference generalized-advantage-estimation rlhf agent-skills advantage-function

Updated Sep 28, 2026
Python

alphaparkinc / genpark-gae-generalized-advantage-estimation-skill

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Generalized Advantage Estimation (GAE-Lambda) exponentially weighted temporal difference calculator

reinforcement-learning mcp gae variance-reduction actor-critic python-standard-library temporal-difference generalized-advantage-estimation rlhf agent-skills advantage-function

Updated Sep 28, 2026
Python

leaderj1001 / Phasic-Policy-Gradient

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Phasic-Policy-Gradient

policy-gradient proximal-policy-optimization generalized-advantage-estimation phasic-policy-gradient

Updated Dec 1, 2020
Python

shaheennabi / Proximal-Policy-Optimization-PPO

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Modular Implementation of Proximal Policy Optimization (PPO) is a policy gradient reinforcement learning algorithm introduced by OpenAI in 2017. It's designed to be a simpler, more stable, and more sample-efficient alternative to previous policy gradient methods like A3C and TRPO (Trust Region Policy Optimization).

reinforcement-learning policy-gradient proximal-policy-optimization generalized-advantage-estimation

Updated Jan 28, 2026
Python

tomasspangelo / proximal-policy-optimization

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An implementation from the state-of-the-art family of reinforcement learning algorithms Proximal Policy Optimization using normalized Generalized Advantage Estimation and optional batch mode training. The loss function incorporates an entropy bonus.

python machine-learning reinforcement-learning entropy deep-learning neural-network optimization gae pytorch rl actor-critic proximal-policy-optimization ppo open-ai open-ai-gym generalized-advantage-estimation ppo-pytorch

Updated Dec 26, 2022
Python

utsimul / Ship_routing_QLearning

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Generating reasonably optimal routes for ships and dynamically deciding direction considering weather and distance factors using RL

reinforcement-learning q-learning proximal-policy-optimization ppo path-optimization generalized-advantage-estimation policy-gradient-optimization

Updated Sep 21, 2026
Python

nslyubaykin / rnns_for_pomdp

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Recurrent Policies for Handling Partially Observable Environments

reinforcement-learning gae lstm policy-gradient pomdp proximal-policy-optimization ppo reccurent-neural-network partially-observable-environment generalized-advantage-estimation

Updated Aug 29, 2022
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saxenap2804 / PPO-Pendulum

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PyTorch implementation of Proximal Policy Optimization for continuous pendulum control, featuring GAE, clipped objectives, training curves, and value-function visualization.

reinforcement-learning pytorch pendulum ppo actorcritic openaigym generalized-advantage-estimation

Updated Aug 19, 2026
Python

SaiSampathKedari / Deep-Reinforcement-Learning

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Deep Reinforcement Learning from mathematical foundations to PyTorch implementations: rigorous proofs, step-by-step derivations of objectives and gradient estimators, and reproducible experiments on Gymnasium and MuJoCo benchmarks spanning policy gradients, actor-critic methods, value-based learning, and continuous control.