some deep RL papers

gistfile1.md

• Deep Q Learning (DQN) _{^{(Mnih et al. 2013)}}
• DQN with Fixed Q Targets _{^{(Mnih et al. 2013)}}
• Double DQN (DDQN) _{^{(Hado van Hasselt et al. 2015)}}
• DDQN with Prioritised Experience Replay _{^{(Schaul et al. 2016)}}
• Dueling DDQN _{^{(Wang et al. 2016)}}
• REINFORCE _{^{(Williams et al. 1992)}}
• Deep Deterministic Policy Gradients (DDPG) _{^{(Lillicrap et al. 2016 )}}
• Twin Delayed Deep Deterministic Policy Gradients (TD3) _{^{(Fujimoto et al. 2018)}}
• Soft Actor-Critic (SAC) _{^{(Haarnoja et al. 2018)}}
• Soft Actor-Critic for Discrete Actions (SAC-Discrete) _{^{(Christodoulou 2019)}}
• Proximal Policy Optimisation (PPO) _{^{(Schulman et al. 2017)}}
• DQN with Hindsight Experience Replay (DQN-HER) _{^{(Andrychowicz et al. 2018)}}
• DDPG with Hindsight Experience Replay (DDPG-HER) _{^{(Andrychowicz et al. 2018 )}}
• Hierarchical-DQN (h-DQN) _{^{(Kulkarni et al. 2016)}}
• Stochastic NNs for Hierarchical Reinforcement Learning (SNN-HRL) _{^{(Florensa et al. 2017)}}
• Diversity Is All You Need (DIAYN) _{^{(Eyensbach et al. 2018)}}