deep-reinforcement-learning-records
Explicitly show the relationships between various techniques of deep reinforcement learning methods.
Dedicated for learning and researching on DRL.
Policy gradient methods
- Equivalence Between Policy Gradients and Soft Q-Learning
- Trust Region Policy Optimization
- Reinforcement Learning with Deep Energy-Based Policies
- Q-PROP: SAMPLE-EFFICIENT POLICY GRADIENT WITH AN OFF-POLICY CRITIC
- Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning 1 Jun 2017
Explorations in DRL
- Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models
- EX2: Exploration with Exemplar Models for Deep Reinforcement Learning
Actor-Critic methods
- The Reactor: A Sample-Efficient Actor-Critic Architecture 15 Apr 2017
- SAMPLE EFFICIENT ACTOR-CRITIC WITH EXPERIENCE REPLAY
- REINFORCEMENT LEARNING WITH UNSUPERVISED AUXILIARY TASKS
- Continuous control with deep reinforcement learning
Connection with other methods
Connecting value and policy methods
- Bridging the Gap Between Value and Policy Based Reinforcement Learning
- Policy gradient and Q-learning