Pytorch Implementation of Twin Delayed Deep Deterministic Policy Gradients Algorithm for Continuous Control as described by the paper Addressing Function Approximation Error in Actor-Critic Methods by Scott Fujimoto, Herke van Hoof, David Meger.
Environment Link: https://gym.openai.com/envs/BipedalWalker-v2/
Mean Reward: 295.263390447903 sampled over 20 evaluation episodes.
Experiment Conducted on Free-P5000 instance provided by Paperspace Gradient.
Environment Link: https://gym.openai.com/envs/LunarLanderContinuous-v2/
Mean Reward: 272.55341062406666 sampled over 20 evaluation episodes.
Experiment Conducted on Free-P5000 instance provided by Paperspace Gradient.
@misc{1802.09477,
Author = {Scott Fujimoto and Herke van Hoof and David Meger},
Title = {Addressing Function Approximation Error in Actor-Critic Methods},
Year = {2018},
Eprint = {arXiv:1802.09477},
}