content.md

Deep Reinforcement Learning

Policy gradient methods

• Trust Region Policy Optimization
• Reinforcement Learning with Deep Energy-Based Policies
• Q-PROP: SAMPLE-EFFICIENT POLICY GRADIENT WITH AN OFF-POLICY CRITIC

Explorations in DRL

• Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models

Actor-Critic methods

• The Reactor: A Sample-Efficient Actor-Critic Architecture
• SAMPLE EFFICIENT ACTOR-CRITIC WITH EXPERIENCE REPLAY
• REINFORCEMENT LEARNING WITH UNSUPERVISED AUXILIARY TASKS
• Continuous control with deep reinforcement learning

Connection with other methods

• Connecting Generative Adversarial Networks and Actor-Critic Methods

Connecting value and policy methods

• Bridging the Gap Between Value and Policy Based Reinforcement Learning
• Policy gradient and Q-learning

Unifying

• Multi-step Reinforcement Learning: A Unifying Algorithm

Faster DRL

• Neural Episodic Control